Data Analyst Jobs in India

Data Analysts & Spreadsheet Specialists

$50 - $60/yr

Accountabilities Data Analysis & Processing: Complete practical data analysis tasks involving data collection, cleaning, transformation, validation, and interpretation to produce accurate, structured, and reliable results. Spreadsheet Development & Management: Build, update, and refine spreadsheets using Excel, Apple Numbers, and Google Sheets, applying advanced functions and techniques to solve real-world analytical problems. Data Modeling & Reporting: Develop financial or operational models, pivot tables, lookup formulas, charts, and structured reports to organize information and communicate meaningful insights. AI Research Support: Execute realistic data analysis and spreadsheet workflows to help evaluate, benchmark, and improve the performance of advanced AI models. Training Data Creation: Produce high-quality examples of analytical work, documenting processes and outcomes to support AI training, testing, and evaluation. Analytical Reasoning & Documentation: Clearly explain your approach, assumptions, calculations, and decisions while completing assigned tasks, ensuring that your reasoning is understandable and reproducible. Data Accuracy & Quality Assurance: Review formulas, validate calculations, identify inconsistencies, and apply appropriate quality checks to maintain the accuracy and integrity of analytical outputs. Independent Task Management: Complete assignments independently, follow project guidelines, and manage your workload effectively within agreed deadlines. Continuous Improvement: Apply analytical thinking and problem-solving skills to identify efficient approaches, improve spreadsheet workflows, and deliver consistent, high-quality results. Requirements: Education & Professional Experience: A bachelor's degree in a quantitative or related field, with either 2–3 years of relevant professional experience or current/recent enrollment in postgraduate studies, preferably at the master's level. The original posting specifies a bachelor's degree from a prestigious institution for the professional-experience pathway. Mandatory Mac Ownership: You must own a MacBook or Mac computer equipped with an Apple M-series chip or an Intel processor and running macOS 15 or later. Applicants without a compatible Mac cannot be considered. Advanced Spreadsheet Skills: Strong proficiency in Microsoft Excel, Apple Numbers, and/or Google Sheets, including pivot tables, lookup functions, charts, data cleaning, formula development, and financial or operational modeling. Data Analysis Expertise: The ability to organize, interpret, validate, and analyze structured data, identify patterns, and translate raw information into meaningful findings. Additional Technical Skills: Familiarity with SQL, Python, R, or business intelligence tools such as Tableau and Power BI is an advantage. Analytical & Critical Thinking: Strong quantitative reasoning, attention to detail, and the ability to approach data problems systematically, evaluate alternative solutions, and explain analytical decisions. Communication Skills: Excellent written and verbal communication skills, with the ability to clearly narrate workflows, explain calculations, document assumptions, and communicate technical concepts. Quality & Accuracy: A meticulous approach to data validation, formula checking, documentation, and quality control, ensuring that work is reliable and consistent. Independent Working Style: Strong organizational skills, self-motivation, and the ability to work autonomously in a remote environment while following structured instructions. Availability: Ability to commit approximately 10–20 hours per week, with an immediate start preferred. Contract Eligibility: This opportunity is structured as an independent contractor engagement. The original posting states that H-1B and STEM OPT candidates cannot be supported at this time. Benefits: Competitive Hourly Compensation: Earn $50–$60 per hour, based on services rendered. Weekly Payments: Receive payments weekly through Stripe or Wise. Fully Remote Work: Complete assignments remotely using your own compatible Mac computer. Flexible Schedule: Organize your work around your availability while committing approximately 10–20 hours per week. AI & Research Exposure: Contribute to projects supporting the development, benchmarking, and improvement of advanced AI systems. Practical Experience: Apply your data analysis and spreadsheet expertise to realistic tasks that strengthen your analytical problem-solving experience. Structured Work Environment: Benefit from clearly defined responsibilities without the high-pressure expectations often associated with internships or full-time consulting roles. Independent Work: Take ownership of your assignments and manage your workload within established project guidelines. Potential Project Extensions: Projects may be extended, shortened, or concluded early depending on business needs and performance. Referral Incentives: Earn up to $240 for each successful referral, subject to applicable referral limits and policy terms. Employment & Additional Benefits: This is an independent contractor position rather than a salaried employee role. Healthcare coverage, paid leave, retirement benefits, and other traditional employee perks are not specified in the original posting. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Lead Data Analyst

Accountabilities Engage directly with clients and Customer Success Managers to understand business objectives, reporting requirements, and technical challenges, translating them into clear specifications and actionable implementation plans. Lead and coordinate a team of junior data analysts, providing technical guidance, supporting problem-solving, and ensuring the timely delivery of high-quality solutions. Serve as the primary bridge between customers, Customer Success, Product Engineering, and Design teams to facilitate communication, align expectations, and drive successful project execution. Design, develop, and maintain custom reports, dashboards, widgets, data models, and platform-based solutions that address customer reporting and data analysis needs. Write, analyze, debug, and optimize complex SQL queries against relational data models to deliver accurate reporting and efficient data processing. Leverage Python and Apache Spark, where appropriate, to support data transformation, advanced reporting requirements, and specialized technical solutions. Configure platform features, workflows, integrations, and reporting components according to business requirements and technical specifications. Analyze source data, data structures, existing configurations, and system dependencies to identify effective, scalable implementation approaches. Assess technical feasibility, clarify requirements, identify potential risks, and collaborate with stakeholders to define suitable solution architectures and delivery plans. Partner with Product Engineering and Design teams to investigate platform limitations, troubleshoot technical issues, document findings, and validate fixes or workarounds. Perform testing and quality assurance on reports, dashboards, widgets, data models, and configurations before delivery to ensure accuracy, consistency, and alignment with customer expectations. Prepare and maintain technical documentation, solution notes, data-lineage records, and reusable implementation patterns to support knowledge sharing and operational efficiency. Manage multiple customer requests simultaneously, prioritize competing tasks, track progress, communicate risks, and take ownership of issues through resolution. Ensure all technical deliverables meet business objectives, customer requirements, and established quality standards while contributing to continuous improvement across the technical delivery process. Requirements A minimum of 6 years of relevant professional experience in data analytics, data engineering, technical delivery, business intelligence, or a related technical field. An engineering degree is mandatory for this position. Strong SQL expertise is essential, including the ability to write, analyze, debug, and optimize complex queries across relational databases and sophisticated data models. Good working knowledge of Python and Apache Spark, with the ability to apply them to data transformation, reporting, and specialized analytical requirements. Ability to interpret technical documentation, including data-lineage diagrams, entity-relationship diagrams (ERDs), database schemas, and business-process flows. Strong analytical thinking, logical reasoning, and problem-solving skills, with the ability to investigate ambiguous issues, develop hypotheses, test solutions, and document findings. Excellent written and spoken English communication skills, including the ability to explain technical concepts and data-related issues clearly to business stakeholders and technical teams. Proven ability to interact directly with clients, gather requirements, discuss technical approaches, manage expectations, and deliver customer-focused solutions. Experience coordinating cross-functional teams, managing stakeholder relationships, and guiding junior analysts in a technical delivery environment. Strong organizational and prioritization skills, with the ability to manage multiple requests, handle competing deadlines, and maintain ownership from initial investigation through final resolution. Ability to work independently in a remote environment while collaborating effectively with distributed teams. Familiarity with version-control tools such as GitHub or Bitbucket is an advantage. Exposure to cloud data platforms and technologies such as Google Cloud Platform (GCP), BigQuery, or Snowflake is preferred. Knowledge of marketing technology platforms and integrations, including Salesforce, HubSpot, Marketo, Google Ads, LinkedIn, or Eloqua, is beneficial. Experience in B2B marketing, marketing operations, revenue operations, business intelligence, SaaS platforms, data integrations, or technical support is a plus. Familiarity with reporting and business intelligence tools such as Microsoft Power BI, Looker, or Tableau is desirable. A customer-first mindset, proactive communication style, attention to detail, and commitment to delivering reliable, high-quality solutions are essential. Availability to work the US shift, from 6:00 PM to 3:00 AM India Standard Time (IST) , is mandatory. Benefits Remote work: Work from home in India, with the flexibility and convenience of a remote working environment. Career development: Build your career at the intersection of data analytics, technical delivery, customer success, and revenue technology. Technical exposure: Work with a technically challenging B2B SaaS platform supporting marketing and revenue operations. Diverse technologies: Gain hands-on exposure to complex data models, SQL optimization, Python, Spark, reporting solutions, cloud data platforms, and marketing technology integrations. Cross-functional collaboration: Work closely with Product, Engineering, Implementation, Account Services, Customer Success, and Business Intelligence teams. Leadership opportunities: Guide junior data analysts, contribute to technical decision-making, and develop your team leadership and stakeholder management skills. Meaningful customer impact: Deliver data solutions that help enterprise customers improve reporting, understand their data, and achieve their business objectives. Continuous learning: Strengthen your technical expertise through complex problem-solving, knowledge sharing, and exposure to evolving SaaS and data technologies. Collaborative culture: Join an environment that values curiosity, accountability, customer satisfaction, and continuous improvement. Compensation and additional benefits: Salary, healthcare coverage, paid leave, and other employment benefits are subject to the partner company's policies and employment package. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Data Analyst (Reporting, Analytics & Automation)

From $30,000/yr

Who is Shift? At Shift, we’re business specialists dedicated to helping Australian SMEs take control of their cashflow, streamline trade terms and choose the right financial products. We believe Australian businesses are the driving force behind our economy and are core to our communities. That’s why our business expertise, focus on relationships, and market-leading technology is at the core of everything we do. We’ve helped solve the credit and payment pain points for more than 30,000 businesses, providing over $6 billion in aggregate funding. Our unique approach to product innovation combined with our collaborative culture means you can build your career in a supportive environment. You’ll be joining a diverse team of over 300 people who are always looking to deliver better outcomes for Australian businesses. Key Responsibilities 1. Develop and maintain dashboards, reports, and KPI scorecards to support business decision-making. 2. Analyse operational and business data to identify trends, risks, and improvement opportunities. 3. Write and optimise SQL queries to extract, transform, and validate data. 4. Deliver actionable insights and recommendations to stakeholders across the business. 5. Partner with business teams to understand reporting and analytics requirements. 6. Design and implement scalable reporting solutions that improve efficiency and usability. 7. Own the automation of recurring reporting and manual data preparation and maintain the certified data models and shared definitions that reporting is built from, so that repeat requests are answered from existing assets rather than rebuilt. 8. Ensure data accuracy, quality, and consistency across reporting and analytical outputs. 9. Contribute to analytics, automation, and AI-driven initiatives that enhance business performance. 10. Maintain documentation, reporting standards, and data governance best practices. Skills & Experience Essential · 3 to 5 years of experience in Data Analytics, Reporting, Business Intelligence, or a related field. · Strong SQL skills with the ability to analyse and manipulate large datasets. · Experience with Tableau visualisation tool. · Working experience with Databricks or an equivalent cloud data platform, and a practical understanding of data warehousing concepts. · Demonstrated experience automating reporting or data preparation using Power Automate, Power Query, Python or equivalent tooling. · Advanced Microsoft Excel skills. · Strong analytical, problem-solving, and critical-thinking abilities. · Excellent communication and stakeholder management skills. · High attention to detail and commitment to data quality. Desirable · Financial Services, Lending, Credit Risk, Operations, or FinTech experience. · Experience with data governance, definition management or reporting standards. · Interest in AI-enabled analytics and emerging technologies. Why Join Us? - Work on high-impact projects that influence business decisions. - Gain exposure to modern analytics, automation, and AI initiatives. - Partner with stakeholders across multiple business functions. - Be part of a growing Analytics & Automation capability. - Develop your career in Business Intelligence, Data Analytics, Automation, and Data Architecture. Key benefits: - Collaborative teams – a flat structure means everyone can learn from colleagues and senior leaders around the business. - Be involved – come together with all of your colleagues every 100 days to share the product and technology roadmap and business strategy. - Flexible working environment – we’re headquartered in North Sydney with state-based workplaces and offer a flexible work policy. - Family support – industry leading 26 weeks paid parental leave. - Purpose built spaces within our office – designed for collaboration, brainstorming, socialising, and focused work. - Range of benefits supporting your physical, psychological and financial wellbeing. From a day off on your birthday to excellent end of trip facilities. #LI-Hybrid

Finance Data Analyst

Accountabilities: Map and document financial and corporate data sources, systems, ownership, definitions, and data flows to improve transparency and consistency. Identify data gaps, inconsistencies, duplication, and reconciliation issues across accounting, billing, CRM, HR, payroll, cash management, and expense-management systems. Define data requirements for monthly closing, budgeting, forecasting, and management reporting, ensuring key financial and operational metrics are clearly defined and consistently calculated. Explore, transform, and model data from data warehouses and connected business systems to create reliable, reusable, and well-documented datasets. Reconcile data across multiple sources and investigate discrepancies to improve the accuracy and reliability of financial and corporate reporting. Produce recurring financial analyses, dashboards, and reporting to support leadership decisions, including budget-versus-actuals analysis, variance analysis, cash monitoring, headcount planning, and SaaS performance analysis. Collaborate with data engineering teams and system owners to improve integrations, transformations, data accessibility, and quality checks. Automate recurring reporting, reconciliations, and analytical workflows where automation can deliver meaningful efficiency gains. Maintain documentation covering data lineage, metric definitions, business rules, assumptions, and known limitations. Contribute to data governance and quality monitoring, preparing reliable datasets for forecasting, anomaly detection, and future AI-driven use cases. Handle confidential financial, HR, and payroll information with discretion, accuracy, and a strong commitment to data protection. Requirements: At least 3 years of experience in data analysis, business intelligence, financial analytics, FP&A analytics, or a related analytical role. Strong analytical and problem-solving skills, with the ability to investigate data across multiple systems and identify the root causes of discrepancies. Good command of SQL and practical experience with at least one business intelligence or data visualization tool. Ability to translate business questions into clear data requirements, meaningful metrics, and actionable analyses. Solid understanding of financial concepts, including budgeting, forecasting, monthly closing, variance analysis, revenue, cash flow, costs, and unit economics. Advanced Excel or Google Sheets skills, including the ability to review, audit, and structure existing financial models. Strong documentation and communication skills, with the ability to collaborate effectively with both Finance and technical stakeholders. Professional fluency in English, both written and spoken, and the ability to communicate complex findings clearly. A rigorous, curious, and structured approach to data quality, with the confidence to challenge assumptions and make definitions explicit. Ability to work independently, prioritize competing requests, and deliver practical solutions in a changing business environment. Nice-to-have qualifications: Experience in a B2B SaaS, software, technology, or scale-up environment. Familiarity with SaaS revenue metrics, including MRR, ARR, NRR, churn, and bookings. Understanding of SaaS cost structures, including cloud storage, compute, data retention, AI-related expenses, and gross margin. Experience with finance, accounting, billing, CRM, HRIS, payroll, expense-management, or financial planning tools. Knowledge of data warehouses, data modeling, ETL processes, APIs, or data quality frameworks. Experience with Python or another programming language for analysis and automation. Previous exposure to sensitive HR or payroll data and an understanding of the confidentiality requirements involved. Candidates who meet most, but not necessarily all, of these requirements are encouraged to apply. A strong willingness to learn, analytical thinking, and the ability to demonstrate relevant skills are equally valued. Benefits: Full-time employment in a role with meaningful exposure to financial strategy and business performance. Opportunity to work in a technology-driven environment alongside Finance, Data Engineering, and other cross-functional teams. Scope to improve reporting processes, strengthen data quality, and contribute to automation and advanced analytics initiatives. Opportunities to develop expertise in financial analytics, business intelligence, data modeling, and SaaS performance metrics. A collaborative working environment that values clear communication, continuous improvement, and practical problem-solving. Potential exposure to future forecasting, anomaly detection, and AI-driven analytical projects. Salary, healthcare coverage, paid leave, flexibility, and other employment benefits to be confirmed with the hiring company. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Data Client Support Analyst

From $30/yr

Accountabilities Respond to client inquiries concerning portfolio data feeds and data product functionality, ensuring timely and accurate resolutions within established service-level agreements (SLAs). Manage requests from internal Data teams that require client communication or action to investigate and resolve data verification issues. Investigate client-reported bugs, data discrepancies, and processing problems, escalating technical issues to Product and Engineering teams when necessary. Collaborate with Account Managers, Solutions Architects, and go-to-market stakeholders to coordinate data-related escalations and achieve positive client outcomes. Communicate clearly with clients, data providers, and internal teams to gather information, clarify issues, and keep relevant stakeholders informed. Contribute to cross-functional projects that improve internal workflows, strengthen data management processes, and support the introduction of new product features and services. Maintain accurate documentation of team processes, recurring issues, and troubleshooting procedures. Identify opportunities to improve workflows, increase operational efficiency, and enhance the overall client support experience. Requirements: At least 3 years of professional experience in the financial investment or advisory industry. Solid understanding of capital markets, portfolio accounting, and customer relationship management. Excellent written and verbal communication skills, with the interpersonal ability to work effectively with clients and cross-functional teams. Strong attention to detail and the ability to investigate data issues methodically, manage competing priorities, and deliver accurate outcomes. A self-motivated and proactive approach, with a willingness to take ownership of responsibilities and follow issues through to resolution. A collaborative mindset and a strong commitment to client satisfaction and service quality. Experience documenting processes, identifying workflow inefficiencies, and recommending practical improvements. Flexibility to work the required US business-day schedule, from 6:30 p.m. to 3:30 a.m. India Standard Time (IST) . Familiarity with Microsoft Office applications, Salesforce, Atlassian tools, SQL, Bloomberg, Thomson Reuters, or other financial services systems is preferred. Must have legal authorization to work in India from the first day of employment. Visa sponsorship is not available for this position. Benefits: Opportunity to work with financial data products that support investment professionals and portfolio management workflows. Collaboration with client-facing, data, product, and engineering teams in a cross-functional environment. Exposure to financial technology, portfolio data management, and data quality initiatives. Opportunities to contribute to process improvements, product development initiatives, and operational enhancements. A culture that values ownership, collaboration, client success, innovation, and continuous learning. Salary, healthcare coverage, paid leave, and other specific benefits are not detailed in the available job description. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Data Operation Analyst (India)

From $25/yr

At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role We are seeking a Data Operations Analyst who will work at the intersection of QBR technical support and Revenue Cycle Management (RCM) data analysis . This role requires a strong mix of technical expertise (SQL, Excel, data validation), critical thinking, and attention to detail. The Analyst will be responsible for creating and enhancing QBR decks, running custom analyses, and ensuring high-quality data accuracy within patient verification and benefits processes. The ideal candidate will bring strong analytical skills, a problem-solving mindset, and the ability to deliver error-free, business-critical outputs for internal teams and clients. What You’ll Do Deck Creation & Automation: Run daily deck automations to generate reports (10–15%). Own direct connect decks end-to-end: ensure 100% QA, escalate concerning metrics, and transition high-revenue decks to AMs (10–15%). Work on custom and strategic QBR decks (30–40%), including adding tailored slides, insights, and SQL/Excel analysis that elevate reporting beyond standard decks. Custom Analysis & Data QA Client-Facing Custom Analysis : Support ad hoc requests from clients, including detailed SQL and Excel-based analysis, and develop custom Retool dashboards where applicable. Data Verification: Validate that revenue transaction reports are accurately ingested from EHR systems and reconcile data discrepancies. Quality Assurance Testing: Develop and execute test plans for data ingestion, identify discrepancies, and document QA results. Mathematical/Financial Analysis: Apply quantitative reasoning to validate numerical accuracy in reports and ensure data integrity. Process Improvement: Collaborate with engineering and operations teams to streamline QA processes, data workflows, and reporting accuracy. Documentation & Reporting: Maintain records of QA activities, mappings, and findings, and present reports to stakeholders. Compliance: Ensure all data handling complies with HIPAA and other regulatory requirements. What You Have Bachelor’s degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field. Minimum 1 year of experience in data analysis, quality assurance, or technical reporting (healthcare/RCM preferred). Strong technical ability: Proficiency in SQL and Excel (including pivot tables, VLOOKUP, macros, and data analysis). Ability to perform quantitative reasoning to review metrics logically and identify inconsistencies. High attention to detail – able to spot even the smallest errors before work is released. Strong communication skills to relay insights, raise concerns, and collaborate across teams. Familiarity with healthcare revenue cycle and financial reporting (preferred). Experience with data visualisation tools (Tableau, Power BI) is a plus. Growth mindset – ability to become semi-self-sufficient within 2–3 months. Willingness to work in India Night Shifts (US Day shift – EST to PST) . Please be aware that all official communication from us will come exclusively from email addresses ending in @ getathelas.com , @ commure.com or @ augmedix.com . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.

Data Analyst - GCP Big query

From $11/yr

<p><strong>Job Title: </strong>Data Analyst – GCP BigQuery<br>Location : Bangalore<br>Exp : 7 to 11 yrs.&nbsp;</p> <p><strong><br>About Us</strong></p> <p><em>“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with <strong>Consultancy of the year in the &nbsp;</strong></em><strong><em>British Bank Award</em></strong><em> and has been ranked <strong>Top 100 Best Companies for Women in India 2022 by </strong></em><a href="https://avtarinc.com/what-we-do/enrich-diversity/best-companies-for-women/"><strong><em>Avtar &amp; Seramount</em></strong></a><em>. With our presence across 32 cities across globe, we support 100+ clients across&nbsp;banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.&nbsp; </em></p> <p><strong><em>WHY JOIN CAPCO?&nbsp;</em></strong></p> <p>You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.</p> <p><strong><em>MAKE AN IMPACT</em></strong></p> <p>Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.</p> <p><strong><em>#BEYOURSELFATWORK</em></strong></p> <p>Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.</p> <p><strong><em>CAREER ADVANCEMENT</em></strong></p> <p><em>With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.</em></p> <p><strong><em>DIVERSITY &amp; INCLUSION</em></strong></p> <p><em>We believe that diversity of people and perspective gives us a competitive advantage.<br></em></p> <p><span style="text-decoration: underline;"><strong><em>Job Description:&nbsp;</em></strong></span></p> <p></p> <p class="xMsoNormal" data-olk-copy-source="MessageBody">We are seeking&nbsp;<strong>Data Analyst</strong>&nbsp;with strong expertise in&nbsp;<strong>Finance/Banking Domain</strong>, advanced&nbsp;<strong>SQL skills</strong>, and hands-on experience with&nbsp;<strong>GCP/BigQuery</strong>. The ideal candidate will analyze large datasets, generate actionable insights, and partner with UK-based stakeholders to support business and strategic decision-making.</p> <p class="xMsoNormal"><strong>&nbsp;</strong><strong>Required Technical Skills</strong></p> <ul type="disc"> <li class="xMsoNormal">Strong expertise in&nbsp;<strong>SQL</strong>.</li> <li class="xMsoNormal">Hands-on experience with&nbsp;<strong>Google Cloud Platform (GCP)</strong>&nbsp;and&nbsp;<strong>BigQuery</strong>.</li> <li class="xMsoNormal">Experience working with large-scale datasets, data warehouses</li> <li class="xMsoNormal">Strong understanding of ETL/ELT and any BI tool.</li> </ul> <p class="xMsoNormal"><strong>Domain Expertise</strong></p> <ul type="disc"> <li class="xMsoNormal">Strong background in&nbsp;<strong>Finance, Banking, Capital Markets, or Financial Services</strong>.</li> </ul> <p class="xMsoNormal"><strong>Stakeholder Management</strong></p> <ul type="disc"> <li class="xMsoNormal">Proven experience working with&nbsp;<strong>UK-based clients and senior business stakeholders</strong>.</li> <li class="xMsoNormal">Strong communication, presentation, and consulting skills.</li> <li class="xMsoNormal">Ability to independently manage discussions, influence decisions, and drive outcomes.</li> <li class="x_MsoNormal">Confident, articulate, and client-focused professional with excellent problem-solving abilities.&nbsp;<br><br></li> </ul> <p></p>

Data Analyst

Everbridge is seeking a Data Analyst to help transform complex business and operational data into clear, actionable insights. This role will support reporting, workforce analytics, operational analytics, KPI tracking, forecasting, and cross-functional business intelligence initiatives. The Data Analyst will work closely with business stakeholders, analytics engineers, data engineers, and leadership teams to build trusted reporting solutions, validate business logic, improve data quality, and support data-driven decision-making across the organization. The ideal candidate has strong analytical fundamentals, advanced SQL skills, experience with modern cloud analytics platforms, and the ability to communicate insights clearly to both technical and non-technical audiences. This role is well suited for someone who is detail-oriented, curious, comfortable working with evolving data workflows, and interested in using automation and AI-assisted analytics tools to improve productivity, reporting quality, and operational efficiency. What You'll Do Analyze large and complex datasets to identify trends, anomalies, risks, and business opportunities. Build, maintain, and improve dashboards, recurring reports, and self-service analytics solutions. Write efficient SQL queries to support business reporting, ad hoc analysis, and data validation. Partner with analytics engineering and data engineering teams to validate and consume curated datasets. Assist in designing, testing, and validating data models used in reporting and analytics workflows. Translate business questions into measurable KPIs, analytical frameworks, and reporting requirements. Perform data quality checks, investigate reporting inconsistencies, and support root cause analysis. Document business logic, metric definitions, data sources, reporting methodologies, and assumptions. Support workforce analytics, headcount reporting, workforce movement analysis, forecasting, and operational reporting. Collaborate with stakeholders across Finance, HR, Operations, Product, and business leadership. Identify opportunities to automate manual reporting processes and improve analytics scalability. Support automation initiatives that reduce repetitive work and improve reporting consistency. Use AI-assisted tools where appropriate to support analysis, documentation, workflow development, and reporting efficiency. Validate AI-assisted outputs using strong analytical judgment, business context, and data quality standards. Contribute to the continuous improvement of reporting standards, analytics processes, and data governance practices. What You'll Bring 2-5 years of experience in data analytics, business intelligence, reporting, or a related analytical role. Strong proficiency in SQL for data extraction, transformation, analysis, and validation. Experience working with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Azure Synapse. Experience building dashboards and reports using BI tools such as Tableau, Power BI, Looker, or AWS QuickSight. Strong understanding of relational databases, data modeling concepts, and analytical data structures. Ability to work with large datasets, complex business logic, and multiple data sources. Strong analytical, problem-solving, and critical-thinking skills. High attention to detail and commitment to data accuracy. Ability to manage ad hoc analysis requests while balancing recurring reporting priorities. Strong communication skills, with the ability to explain data findings to technical and non-technical audiences. Experience working with business stakeholders to gather requirements and translate them into reporting solutions. Ability to document assumptions, methodologies, business rules, and reporting logic clearly. Preferred Experience Experience in supporting HR, workforce, finance, operations, or SaaS business analytics. Experience with modern data transformation tools such as dbt. Familiarity with ETL/ELT pipelines and modern data stack architecture. Understanding of data governance, data quality, and reporting standardization best practices. Experience working with APIs, SharePoint data sources, or automated data ingestion workflows. Exposure to Python or other scripting languages for automation and data analysis. Experience working with Git or version-controlled analytics workflows. Exposure to knowledge graphs, entity relationship modelling, or semantic data structures, especially as applied to workforce analytics, business reporting, data discovery, or AI-assisted analytics workflows. Familiarity with AI-assisted analytics tools, generative AI copilots, automated insight generation, or workflow automation platforms. Nice-to-Have Skills Experience using AI tools for general productivity, including drafting documentation, summarizing information, improving workflows, and accelerating routine analytical tasks. Experience using AI-assisted development tools or coding copilots to support SQL writing, scripting, debugging, documentation, or analytics workflow development. Familiarity with using AI to support automation, such as generating scripts, streamlining recurring reporting tasks, creating data validation checks, or improving manual business processes. Experience working in Agile analytics, product analytics, or cross-functional delivery teams. Curiosity about emerging analytics technologies, workflow automation, and AI-enabled business intelligence. Technical Environment Snowflake SQL dbt Tableau Power BI AWS QuickSight Cloud-based analytics platforms Workforce and operational reporting datasets SharePoint and other business data sources Git and version-controlled analytics workflows AI-assisted productivity, development, and analytics tools We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Please mention the word AWESOMENESS and tag ROjox when applying to show you read the job post completely (#ROjox). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.