BIG DATA ANALYST JOB DESCRIPTION

When an organization's data lake grows faster than anyone can govern it, decisions get made on stale numbers. The Big Data Analyst keeps that from happening by owning requirement gathering, data quality controls, and the pipeline from raw source to validated output. This role sits inside enterprise analytics teams that manage GDPR-compliant data environments and negotiate SLAs with upstream source owners. It demands both technical depth and the credibility to guide non-technical stakeholders through what the data actually means.

As the Big Data Analyst, you are accountable for transforming high-volume, multi-source data into governed, decision-ready intelligence that operational and commercial leaders depend on. You work within a cross-functional analytics team, partnering with data engineers, BI developers, and business stakeholders to maintain data integrity and deliver reporting that meets evolving organizational requirements.

Career Impact: Deep exposure to GDPR compliance frameworks and enterprise data governance positions you as a trusted authority on data quality standards sought across regulated industries.

Business Impact: The reports and dashboards this role produces feed daily operational decisions, meaning errors in your outputs have immediate, measurable consequences for business performance.

Growth Opportunity: Mastery of ETL processes, data modelling, and Agile delivery in this role creates a direct path toward senior data engineering or analytics architecture positions.

• Gather and validate business requirements from report owners, operational managers, and BI leadership to define accurate data selection criteria.
• Design and develop reports, dashboards, and data mart structures that meet the needs of varying audience levels across the organization.
• Monitor data quality and lineage across structured and unstructured sources, proactively identifying integrity issues before they affect outputs.
• Define new data sources for ingestion into the data lake, agreeing on SLAs with responsible source teams to ensure consistency.
• Apply statistical analysis methods to consumer and operational data, translating findings into commercially focused KPI reporting.
• Support and guide stakeholders through testing and validation cycles, coaching non-technical management in interpreting data outputs.
• Document reporting processes and procedures, reviewing them continuously in line with changing business and GDPR-compliance requirements.

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a numerate discipline, or equivalent work experience.
• 3 or more years of data analysis or BI reporting experience, with demonstrated ownership of end-to-end reporting workflows.
• Proven experience in data governance and quality management within GDPR-regulated or compliance-sensitive environments.
• Strong analytical skills with the ability to handle high volumes of structured and unstructured data with attention to detail.
• Experience in requirement gathering, data modelling, and translating business needs into technically sound data selection queries.
• Proficiency in writing complex queries against relational and non-relational databases.
• Clear written and verbal communication skills, including experience presenting findings to senior operational stakeholders.

• Experience working within Agile or SAFe delivery frameworks on data or BI-focused projects.
• Knowledge of ETL pipeline development and experience managing or improving data lake architectures.
• Familiarity with CI/CD tooling and version control practices applied to data development workflows.
• Experience training or coaching colleagues on interpreting financial or performance reporting outputs.

• Dashboard adoption rate, measuring how consistently stakeholders use self-serve reporting outputs.
• Data quality error rate per reporting cycle, reflecting accuracy of published BI outputs.
• SLA adherence percentage with upstream source teams, tracking timeliness of data ingestion.
• Requirement-to-delivery cycle time for new report requests, measuring responsiveness to business needs.
• Stakeholder validation pass rate on first review, indicating clarity and accuracy of delivered outputs.
• Typical tools: Query and Transformation (commonly SQL and Python), BI and reporting (commonly Power BI or Tableau), workflow management (commonly Jira in Agile environments)

• Base Salary Range: $80,000 to $105,000 per year
• Bonus: 5 to 10 percent annual performance bonus
• Equity: not typical at this level in non-startup environments
• Health Benefits: medical, dental, and vision coverage
• PTO: 15 to 20 days per year plus public holidays
• Common Perks: Remote or hybrid flexibility, professional development budget, access to data certification programs

Figures are estimates based on general US market benchmarks and may be outdated. Adjust based on location, company size, and seniority level.

Work authorization in the United States is required for this position. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, or local law. Reasonable accommodations are available to individuals with disabilities throughout the application and employment process upon request. Employment in this role is contingent on successful completion of a background check.

The Big Data Analyst owns the design and delivery of Business Intelligence reporting, including daily Flash reports, KPI analysis, and SQL and Power BI dashboards that support PRaP processing and claims reconciliation. Working closely with senior operational managers and BI leadership, this role enables performance improvement by translating stakeholder information needs into accurate, user-friendly data outputs across newly awarded and existing contracts.

Key Responsibilities

• Analyze contract KPIs, conversion rates, caseload metrics, and monetary flash data to drive performance improvement.
• Oversee daily Flash report preparation, ensuring data accuracy, completeness, and alignment with evolving business needs.
• Implement newly awarded contracts in collaboration with key stakeholders across the business.
• Design and develop accurate, timely, and user-friendly Business Intelligence using SQL and Power BI.
• Build BI tool-generated reports to facilitate ad-hoc reporting requests and support PRaP processing and claims reconciliation.
• Prepare commercially focused KPI analysis for senior operational managers and BI leadership.
• Research internal and external reporting requirements by proactively identifying information needs of key stakeholders.
• Document and review reporting processes and procedures in line with changing business and customer requirements.
• Coach operational and commercial management in understanding data to aid performance improvement.
• Provide cover for other roles in the Business Intelligence Team during absence or workload fluctuations.

Required Qualifications

• Previous experience in a financial or data analysis role.
• Advanced Visual Basic skills with demonstrated proficiency in macros and automation.
• Advanced Excel skills including pivots, macros, and lookups.
• Experience with Business Intelligence and data warehousing products.
• Advanced analytical skills with the ability to produce accurate, interactive, and user-friendly Business Intelligence for varying audience levels.
• Experience handling high volumes of data with excellent attention to detail and accuracy.
• Strong organisational and time management skills with ability to work under pressure and meet strict reporting deadlines.
• Experience training staff on interpreting financial or performance reporting.

Embedded within the data and media analytics team, the Big Data Analyst delivers analysis of smart TV data, campaign exposure data, and ecosystem metrics across linear, TVE, and DTC streaming to drive media business requirements and audience segmentation strategies. Working closely with data science and data engineering teams, this role advances automated dashboard production and algorithmic solutions that improve media partner outcomes and digital optimization.

Core Functions

• Query and analyze raw data including smart TV data, campaign exposure data, and other datasets to drive media business requirements and insights.
• Analyze ecosystem metrics across linear, TVE, and DTC streaming, producing automated dashboards for media partners.
• Interpret brand awareness and media performance across platforms to define audience opportunities and media mix model strategies.
• Model target audience predictions to power linear marketing tactics and digital segmentation optimization engines.
• Collaborate with data science teams to test supervised and unsupervised learning models and build algorithmic solutions.
• Convert high-value analysis projects to automated data products and maintain self-serve dashboards.
• Work with data engineering to consolidate and analyze structured and unstructured big data sources.
• Scope and manage ad-hoc analytics projects driven by company needs.

Qualifications and Experience

• Bachelor's degree in Applied Mathematics, Statistics, Engineering, Computer Science, or equivalent.
• 2+ years of relevant experience working with large datasets.
• Strong SQL experience with ability to perform effective querying and analysis from multiple sources.
• Experience with data programming languages including SQL, Python, and R.
• Working knowledge of AWS Big Data Tools including S3, RedShift, and Athena or equivalent environments.
• Deep understanding of predictive analytics and foundational data science models.
• Proficient in visualization tools such as Tableau and G Suite including Sheets and Slides.
• Experience presenting complex business methodologies and results to senior stakeholders.
• Ability to prioritize tasks, navigate data ambiguity, and work in agile environments.

Reporting to engineering and architecture leadership, the Big Data Analyst shapes scalable Hadoop-based application development and ensures application design adheres to the overall architecture blueprint across batch and real-time data platforms. Partnering with data teams and business leads, this role strengthens compliance, system integrity, and big data infrastructure to deliver innovative solutions aligned with the product roadmap.

Primary Duties

• Partner with data teams and business leads to ensure appropriate integration of functions aligned with the product roadmap.
• Provide expertise in big data programming and ensure application design adheres to the overall architecture blueprint.
• Participate in designing new system flows and develop standards for coding, testing, debugging, and implementation.
• Develop scalable Hadoop-based applications and administer Hadoop infrastructure on an ongoing basis.
• Analyze storage data volume and allocate space in HDFS.
• Utilize programming and system design skills to develop innovative solutions and triage systemic issues.
• Assess risk when business decisions are made, ensuring compliance with applicable laws, policies, and ethical standards.

Skills and Qualifications

• Bachelor's or Master's degree in Computer Science or equivalent field.
• 6+ years of relevant experience in application development or software design.
• Experience managing and implementing big data-based applications across batch and real-time data platforms.
• Strong knowledge of the Hadoop ecosystem including Spark, Hive, and Impala.
• Experience with at least one RDBMS such as Oracle and at least one ETL tool, preferably Talend.
• Experience with NoSQL databases and event processors such as Kafka is an advantage.
• Clear and concise written and verbal communication skills.

Sitting at the intersection of data engineering and consumer analytics, the Big Data Analyst builds reports and dashboards from structured, semi-structured, and unstructured data sources to support decision-making across different business audiences. Operating across IT teams and customer-facing teams, this role applies statistical analysis methods and data quality controls to improve the company data lake and data marts.

Duties

• Gather, cleanse, organize, process, and analyze data from various sources to extract valuable insights.
• Work with structured, semi-structured, and unstructured data across multiple database types.
• Develop reports and dashboards including charts and tables to support decision-making across different audiences.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Understand sources and lineage of data to control data quality.
• Improve the company data lake and data marts while performing routine analysis to support day-to-day business.
• Apply statistical analysis methods for consumer data research and analysis.
• Collaborate with IT teams and customer-facing teams to accomplish company goals.

Experience and Qualifications

• Experience in data analysis with strong analytical skills and attention to detail.
• Experience with programming languages including Python, Java, or C#.
• Experience with databases and SQL or NoSQL.
• Technical expertise in data models, database design, data mining, and segmentation techniques.
• Experience with the Python data science stack including pandas and numpy, and writing complex SQL queries.
• Knowledge of statistics and experience with statistical packages for analyzing datasets.
• Enthusiasm for teamwork, continuous learning, and adapting to new circumstances.
• Working proficiency in written and spoken English.

A key member of the data and reporting team, the Big Data Analyst leads requirement gathering, data quality oversight, and GDPR-compliant data selection processes, including mock-up creation with Qlik developers and feasibility discussions with data scientists. Collaborating across source teams, data engineers, and report owners, this role ensures data lake integrity and supports AI and reporting initiatives through thorough documentation and coaching.

Functions

• Gather requirements in cooperation with report owners and management, including mock-up creation with Qlik developers or feasibility discussions with data scientists.
• Define qualitative data selection queries based on business requirements.
• Support and guide report owners through testing and validation processes.
• Guard data quality, verify integrity, and proactively identify potential issues.
• Define new data sources to be ingested in the data lake and agree on SLAs with responsible source teams.
• Apply GDPR knowledge in a data-driven context including masking and tokenisation practices.
• Coach and support other team members while maintaining thorough documentation.

Requirements

• At least 5 years of experience in big data projects including requirement gathering, data analysis, and data definitions.
• Data modelling and data selection or querying skills.
• Data governance and quality experience.
• Knowledge of reporting and AI, with GDPR experience including masking and tokenisation.
• Experience with Agile or SAFe methodologies.
• Experience with IT processes in development, operations, or security is an asset.
• Strong communication skills with a focus on quality, ownership, and documentation.
• Proficiency in English.

Accelerating Big Data and Visual Intelligence initiatives depends on the Big Data Analyst, who develops and maintains scalable data processes, manages legacy systems, and applies agile methodologies to deliver high-impact technical projects. Based within a cross-functional technology team, this role enriches the current data portfolio and improves data quality across both development and operational processes.

Accountabilities

• Analyze business requirements and multiple data sources to create, develop, and maintain data processes.
• Understand and take control of legacy systems and tools.
• Develop and participate in high-impact technical projects and scalable solutions related to Big Data and Visual Intelligence initiatives.
• Enrich and increase the current portfolio while improving data quality across developments and processes.
• Communicate and share projects within the team and across the company.
• Apply agile methodologies to achieve ambitious objectives in a structured manner.

Education and Experience

• Bachelor's degree in Computer Science or a numerate discipline.
• More than 5 years of experience in ETL processes and business analysis.
• At least 3-4 years of experience in data development.
• Database experience with relational or non-relational systems.
• Extensive knowledge of automation business and CI/CD tools including Maven, GIT, Nexus, Bamboo or Jenkins, and Sonar.
• Strong experience with Agile and Scrum development concepts.
• More than one year of experience with a Big Data ecosystem such as Google Cloud, Azure, or Cloudera is desirable.

As the Big Data Analyst, this role provides L1 and L2 data support, translates end-to-end business requirements into technical implementations, and applies open source Big Data technologies for data integration and manipulation across DevOps and Agile environments. The Tech office relies on this work to maintain stakeholder visibility into progress, risks, issues, and dependencies across active data initiatives.

Scope of Work

• Provide L1 and L2 data support while proactively identifying opportunities for service improvement.
• Liaise and work closely with the Tech office to keep stakeholders informed on progress, risks, issues, and dependencies.
• Translate business requirements. 
• Designs into technical implementations based on system capabilities.
• Apply Big Data and open source technologies using standard techniques for data integration and data manipulation.

Technical Qualifications

• Mandatory SQL skills and L1 or L2 support experience.
• Experience in at least one big data technology including Hive, Hadoop, HDFS, Spark, Kafka, or GDS.
• Experience in at least one core programming language including Java, Scala, or Bash.
• Advanced or fluent English.
• Availability to work in a different shift.

Big Data Analyst manages sales performance analytics by integrating multiple data sources, coordinating data for monthly and quarterly business reviews, and rolling out new reporting tools to drive adoption across the team. The work directly supports analytical leadership for Walmart, national retail, consumer electronics, and CPG business units through data-driven investigation and category-level insights.

Key Deliverables

• Develop sales performance analytics for each category by integrating multiple data sources.
• Build and manage sub-category groupings for analysis.
• Coordinate all data for monthly and quarterly business reviews.
• Roll out new tools, data, and reporting to the team and drive adoption of new analytics tools.
• Investigate business issues by providing thorough and thoughtful analysis to support data-driven solutions.
• Serve as analytical leader for the team.

Background and Experience

• Bachelor's degree or equivalent experience.
• 2-3 years of experience supporting Walmart, national retail, consumer electronics, or CPG businesses.
• Experience and proficiency with Walmart's Retail Link and Sam's Club Madrid platforms.
• Strong verbal and written communication skills with the ability to work independently and as part of a team.
• Self-starter with a strong work ethic.

The Big Data Analyst owns the creation and maintenance of data marts, KPI frameworks, and decision-making dashboards for Zattoo, an OTT platform processing 6TB of user data daily across roughly 3 million active monthly users. Working closely with data engineers and business stakeholders, this role delivers statistical and analytical models that generate data-based insights supporting billing, forecasting, and performance measurement.

Role Responsibilities

• Collaborate with stakeholders to understand their needs and generate value from data.
• Create and maintain data marts on top of the data warehouse to enable self-service analytics.
• Identify and improve KPIs most relevant for driving business performance.
• Design dashboards tuned for decision-making and insights.
• Use statistical and analytical models to generate data-based insights for the company.
• Collaborate closely with data engineers to ensure data quality and consistency.

Professional Experience

• Master's degree in Mathematics, Computer Science, Economics, Business, or Statistics.
• 3+ years of experience as a data analyst in a digital or tech company working with large amounts of data.
• Strong SQL and Python programming skills.
• Experience with a data visualization tool such as Tableau or Looker.
• Experience with an ETL tool such as Jenkins or Airflow.
• Experience with cloud-based data warehouses including Google Cloud Platform or AWS and analytical databases such as Vertica.
• Strong analytical abilities and experience with various types of analysis and data.
• Strong communication and collaboration skills with data stakeholders and data engineers.
• Experience with self-service analytics on the product or business side is a plus.