{"id":2260425,"url":"https://alion.io/job/astrazeneca-analyst-data-quality","title":"Analyst - Data Quality","company":{"id":13195,"name":"AstraZeneca","domain":"astrazeneca.com","url":"https://alion.io/company/astra-zeneca","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":201,"ghost_share":0,"stale_share":0.423,"repost_share":0.05,"time_to_fill_p50_days":14,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Collibra","optional":true},{"name":"Snowflake","optional":true}],"status":"closed","first_seen_at":"2026-10-08T00:00:00Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-21T10:31:27Z","board_verified":false,"closed_at":"2026-10-21T10:31:27Z","days_open":13,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":13},"description":"Analyst - Data Quality\nCareer Level: C3\nIntroduction to role:\nAre you ready to turn raw enterprise data into trusted insights that accelerate decisions impacting patients worldwide? As an Analyst - Data Quality based in Chennai, you will strengthen the backbone of our global data platforms, ensuring our data products are accurate, complete, and reliable for analytics and reporting that matter.\nYou will implement and monitor data quality controls across shared data platforms, working closely with data engineers and business partners. Can you see yourself diagnosing issues at their source and partnering with teams to deliver fixes that stick? Your work will directly improve the performance of dashboards and critical metrics used across the enterprise, enabling faster, better decisions.\nIn this role, you will sharpen your SQL, Python, and cloud data skills while contributing to AI-ready data products. You will join a collaborative, fast paced environment where diverse perspectives and digital innovation drive meaningful outcomes.\nAccountabilities:\nData Quality Management: Implement data validation and quality rules using SQL to ensure completeness, accuracy, and consistency; develop reusable scripts and queries to automate checks and improve coverage.\nMonitoring and Reporting: Build and maintain Power BI dashboards, critical metric scorecards, and monitoring reports that track data health trends, SLA adherence, and issue backlogs; help customers access and interpret quality metrics to drive action.\nIssue Triage and Root Cause Analysis: Investigate issues across source systems, ingestion pipelines, and transformation layers; collaborate with data engineering and upstream teams to validate fixes and prevent recurrence.\nDocumentation and Governance: Maintain clear documentation for rules, validation logic, benchmark definitions, and monitoring processes; support metadata tagging, taxonomy and ontology alignment to enable AI-ready data products in partnership with product managers and governance teams.\nCustomer Collaboration: Partner with senior team members, Data Product Managers, Market squads, and central governance teams to align on quality standards, prioritize remediation, and improve data trust at scale.\nContinuous Improvement: Find opportunities to optimize queries, streamline ETL/ELT quality controls, and automate routine checks to improve efficiency and reduce defects over time.\nBusiness Impact: Translate technical findings into business-relevant recommendations that enhance downstream analytics, reporting reliability, and decision-making speed.\nEssential Skills/Experience:\nEducation: Quantitative bachelor’s degree or equivalent experience (Engineering, Statistics, Applied Math, Computer Science, Data Science, Economics, or related).\nExperience in data quality, data analytics, data management, or related data roles.\nExperience implementing data validation checks, data profiling, or data quality monitoring.\nExperience with ETL pipeline operations and management, as well as hands-on experience working on a data warehouse, data lake, and Databricks.\nStrong SQL skills including joins, aggregations, and query optimization.\nBasic to intermediate experience with Python for scripting, automation, or data processing.\nStrong documentation, communication, and customer collaboration skills.\nDesirable Skills/Experience:\nExperience with data observability tools or monitoring frameworks.\nExposure to cloud data platforms such as AWS, Microsoft Azure, Snowflake, or Amazon Redshift.\nExperience working with data pipelines, ETL/ELT processes, or data transformation workflows.\nExperience with metadata driven validation or data contracts.\nFamiliarity with enterprise data governance platforms such as Collibra.\nExperience working in large global organizations or regulated industries.\nExposure to pharmaceutical, healthcare, or commercial analytics datasets.\nExperience with Power BI, Excel, or BI tools for data quality monitoring and reporting.\nWhen we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.\nWhy AstraZeneca:\nJoin a high-performing, digitally savvy team where data precision fuels real-world impact. We bring diverse specialists together to solve complex problems, using modern platforms and innovations to streamline how the enterprise operates and to prepare for what’s next. Here, you will sit shoulder-to-shoulder with engineers, product managers, and analysts, using design thinking and data-driven decision-making to build trusted, AI-ready data products that speed better outcomes for patients. We value curiosity and ambition as much as kindness and collaboration, offering the freedom to own your ideas and the support to grow in new directions.\nCall to Action:\nStep into a role where your craft turns data into decisive action-join us to build the trusted data foundation that advances science, accelerates decisions, and elevates your career!\nDate Posted\n08-Oct-2026Closing Date\n13-Oct-2026AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. 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