Jobs at Ellio

2 open positions

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Data Analyst

Jeannette, PA

Overview \& Responsibilities The Data Analyst will be responsible for data discovery from various data sources, and understand and learn the business context of all the data attributes pertaining to the several domains across the organization. This role will define the data structure, create data dictionaries, define attributes, explore and document data lineage, provide algorithms for mastering data, so as to enable quality reporting and analytics. Analyst responsible for producing moderately complex solutions to assigned tasks BACKGROUND And EXPERIENCE * Bachelor’s degree in Data Analytics, Business, Mathematics, Computer Science, or Engineering. * 2 years of work experience in an Data Analyst role. * Working knowledge of typical data pipelines * Begins developing skills in SQL, Excel, source to target mapping, data pipelines, data visualization * Ability to define data and business terms in Data Dictionary format. * Knowledge of operational processes in defined area of work and familiarity with industry practice and standards. NATURE OF THE JOB * This position’s main activities is discovering collecting, organizing and structuring the data. * Accountable for small and medium size projects of low to moderate complexity. * Assists with portion(s) of large projects under supervision. * Receives limited general direction, work in progress is reviewed routinely. * Selects appropriate work procedures or approaches to address technical challenges * Makes own decisions regarding how to approach a work assignment * This position requires regular interaction with internal business users from all departments including Operations, Sales, Marketing, and Finance across all of the global locations of the organization. It will also work closely with the Visualization engineer, Data engineer and Data scientist to remove ambiguity related to the data attributes. Interacts with others using basic courtesy and a straightforward exchange of information. Cooperates with and works effectively with colleagues across the organization, and with vendors Specific Job Responsibilities/Competencies * Discover data across the various applications, databases and spreadsheets. * Catalog and provide governed data definitions. * Document lineage of the data. * Communicate findings during the data discovery. * Map common attributes across various sources of data. * Profile the data for quality and provide solutions for improving the quality of the data. * Well versed with Master Data Management and define algorithms for mastering data. * Write SQL queries, to profile that data and identify the right source for all the domains of data. * Provide clarification about data attributes to the business and other members of the Data Analytics team. * Develop dashboards and reports to deliver data to end users. * Define processes needed for data collection and maintenance, with focus on data quality. * Provide reports on data quality and its improvements. * Build solutions in support of larger projects * Takes responsibility for completion of assigned tasks, involving the cooperative efforts of others * Begins to obtain source data from Elliott systems to compile new reporting functionality * Be ready to work in a fast paced environment. Equal Employment Opportunity Ebara Elliott Energy is an equal employment opportunity/affirmative action employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, marital status, genetic information, disability, veteran status, or any other characteristic protected by the federal, state or local laws of the United States. Applicants and employees are protected under U.S. federal law from discrimination. To learn more, click here . To learn more about our Job Applicant Privacy Notice, please click here . No agency submissions please. NOTE: Resumes submitted to any Ebara Elliott Energy employee without a current, signed and valid contract in place with the Ebara Elliott Energy recruiting team will become the property of Ebara Elliott Energy and no search fees will be paid.

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Data Analytics & Data Engineering Analyst

Cape Town, South Africa

Introduction We are seeking a highly motivated and technically skilled Data Analytics & Engineering Analyst to join our growing Analytics function. This role is designed for individuals who possess strong analytical capabilities and a passion for transforming data into actionable business insights while developing advanced data engineering skills. The successful candidate will initially focus on delivering analytics, reporting, visualization, statistical analysis, and business insights while simultaneously gaining exposure to modern data engineering practices including data pipelines, cloud data platforms, Snowflake, SQL development, and analytics engineering. This position offers an excellent career pathway into Data Engineering, Analytics Engineering, Data Science, and Leadership roles within the organization. Duties & Responsibilities Key Responsibilities Data Analytics & Business Intelligence Develop and maintain interactive dashboards using Power BI and Tableau Analyze large and complex datasets to identify trends, patterns, operational risks, and business opportunities Produce executive-level reporting and presentations for operational and senior leadership teams Perform exploratory data analysis, root cause investigations, and trend analysis Conduct statistical analysis using Python or R Build predictive models and analytical solutions to support business decision-making Translate complex findings into clear business recommendations Partner with operational stakeholders to solve business problems using data Contact Centre Analytics Analyze customer experience metrics including: NPS CSAT OSAT Complaints First Contact Resolution Sales Conversion Quality Scores Schedule Adherence Productivity Metrics Support operational performance reviews through insight generation Develop analytical frameworks to identify drivers of customer satisfaction and dissatisfaction Support workforce planning, operational excellence, and continuous improvement initiatives Data Engineering & Analytics Engineering Exposure Support development and maintenance of data pipelines and ETL/ELT processes Assist in loading, transforming, and validating datasets within Snowflake Develop reusable SQL transformations and data models Work with engineering teams to create analytics-ready datasets Contribute to data quality checks, validation frameworks, and automated reporting solutions Gain hands-on experience with cloud-based analytics platforms Support implementation of data governance, metadata, and documentation standards Stakeholder Engagement Collaborate with Operations, Quality, Training, Continuous Improvement, WFM, and Client teams Gather and translate business requirements into analytical solutions Deliver insight-led presentations and recommendations to leadership teams Support strategic transformation programmes through data-driven decision making Required Skills & Qualifications Education Bachelor's degree in: Data Science Statistics Computer Science Mathematics Engineering Analytics Or related quantitative discipline Technical Skills Analytics & Visualization Strong knowledge of Power BI Experience with Tableau or similar visualization tools Advanced Microsoft Excel skills including: Power Query Pivot Tables Advanced Formulae Data Modelling VBA (preferred) Programming Experience in Python or R Knowledge of: Data manipulation Statistical analysis Predictive analytics Machine learning fundamentals Database & Data Engineering Strong SQL skills Hands-on experience with Snowflake Understanding of: ETL/ELT concepts Data Warehousing Dimensional Modelling Data Lakes Cloud Platforms Presentation & Communication Advanced Microsoft PowerPoint skills Ability to create executive-level presentations Strong storytelling and data visualization capabilities Ability to communicate technical concepts to business audiences Preferred Skills Candidates with exposure to any of the following will be highly regarded: dbt (Data Build Tool) Azure Data Factory Airflow AWS Glue Databricks Azure Synapse Git & CI/CD Machine Learning Cloud Platforms (Azure, AWS, GCP) Snowflake SnowPro Certification Statistical modelling techniques Text Analytics and NLP Contact Centre Analytics Telecom, Utilities, Financial Services, or Customer Operations experience Desired Experience & Qualification Experience Required Essential 3-5 years of experience in Data Analytics, Business Intelligence, or Management Information roles Experience developing dashboards and analytical solutions Strong stakeholder management experience Experience working with large operational datasets Preferred Experience in contact center environments Experience supporting operational performance functions Experience working with Snowflake or cloud data platforms Exposure to data engineering concepts and practices Key Competencies Analytical Thinking Problem Solving Data Storytelling Commercial Awareness Continuous Improvement Mindset Attention to Detail Stakeholder Management Curiosity and Innovation Learning Agility Business Partnering

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