Bengaluru, KA, IN
Live, first seen by us 45 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Design and deliver KPI-led SAC stories and analytic applications
Develop governed, reusable Datasphere data models
Link SAP and non-SAP data with SAC and Datasphere
Optimize performance and set software quality standards across SAC and Datasphere
Coach team members on SAC, Datasphere and scripting
Design and deliver KPI-led stories and analytic applications in live and import modes
Develop consolidated, consistent, and managed frameworks of data to support enterprise analytics
Link SAP and non-SAP data with SAC and Datasphere
Optimize performance across SAC and Datasphere, identifying bottlenecks, implementing tuning strategies, and setting standards for software quality
Provide hands-on leadership, reviews, and mentorship to uplift team capability in SAC, Datasphere, scripting, and analytics guidelines
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Day 45
Similar jobs usually come down between day 6 and day 48.
Well past AstraZeneca’s usual: its jobs come down by about day 14.
From 1,469 similar postings that came down, and 122 of AstraZeneca’s. Coming down is not always a hire.
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- Multi-Functional Collaboration: Translate business requirements into scalable builds, partnering with Finance, Operations, and technology teams to ensure adoption and value. - Scripting and Automation: Apply SQL, Python, and JavaScript to build custom widgets, automate data orchestration, and accelerate delivery of analytics products. Essential Skills/Experience:
- In-depth understanding of data integration and ETL processes across SAC, Datasphere, and other analytics platforms. - Advanced scripting abilities in SQL, Python, and JavaScript to enable data manipulation and automation within both SAC and Datasphere environments. - Experience with SAC scripting for creating custom widgets and analytics applications, as well as automating data flows in Datasphere.
- Predictive and Advanced Visualizations: Apply SAC Smart features, predictive scenarios, R-visualizations, and external libraries to surface insights that change business trajectories. - Integration and Connectivity: Link SAP and non-SAP data with SAC and Datasphere, ensuring seamless integration with upstream processes and consistent, up-to-date analytics. - Performance and Quality: Optimize performance across SAC and Datasphere, identifying bottlenecks, implementing tuning strategies, and setting standards for software quality.
- Degree in Computer Science, Business Informatics or a comparable degree. - Overall, 10-12 years of experience and at least 2-3 years’ experience working on SAP SAC / Datasphere solutions as a Consultant, Analyst, Developer or relevant role. - Demonstrable experience crafting and implementing solutions using SAC for reporting, as well as integrating with SAP Datasphere and upstream processes.
- Overall, 10-12 years of experience and at least 2-3 years’ experience working on SAP SAC / Datasphere solutions as a Consultant, Analyst, Developer or relevant role. - Demonstrable experience crafting and implementing solutions using SAC for reporting, as well as integrating with SAP Datasphere and upstream processes. - Expertise with SAC predictive functionality, Experienced features (Hard-working Assist, Inquisitive Predict, Sensible Discovery), advanced story canvases, data blending, cross-calculations, input controls, and linked analysis.
- Expertise with SAC predictive functionality, Experienced features (Hard-working Assist, Inquisitive Predict, Sensible Discovery), advanced story canvases, data blending, cross-calculations, input controls, and linked analysis. - Skilled in connecting SAC and Datasphere to varied data sources, including SAP HANA, and external databases. - Proficiency in SAP Datasphere for building unified, harmonized, and governed data models to serve enterprise analytics.
- Skilled in connecting SAC and Datasphere to varied data sources, including SAP HANA, and external databases. - Proficiency in SAP Datasphere for building unified, harmonized, and governed data models to serve enterprise analytics. - In-depth understanding of data integration and ETL processes across SAC, Datasphere, and other analytics platforms.
Desirable Skills/Experience: - Experience designing composite and federated models in SAP Datasphere for cross-system analytics. - Proven track record optimizing performance and scalability across SAC and Datasphere in global environments.
- Proven track record optimizing performance and scalability across SAC and Datasphere in global environments. - Hands-on experience with SAP BusinessObjects Universes and enterprise reporting migrations. - Strong understanding of data governance, security, and lineage for regulated analytics use cases.
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New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Are you ready to turn complex enterprise data into decisions that accelerate our mission for patients? As a Specialist or Senior Specialist in SAP Analytics Cloud and Datasphere, you will shape how we transform data into trusted insights that guide the business at speed and scale.
You will join a high-impact analytics community that partners across functions to deliver predictive scenarios, results-focused dashboards, and well-managed data structures. Here, your work will directly influence how teams allocate resources, streamline operations, and pursue scientific breakthroughs. How would you use the intelligent capabilities of SAC and Datasphere models to turn messy data into reliable benchmarks that leaders act on with con fidence?
When 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.
Here, analytics and engineering sit shoulder-to-shoulder with domain experts to unlock insights that speed discovery, sharpen operations, and ultimately help deliver medicines to patients sooner. You will work with modern tools, learn from a diverse global network, and take intelligent risks to push what data can do—backed by real investment in your growth and the freedom to own meaningful outcomes. We value kindness alongside ambition, encourage candid debate, and celebrate the impact of practical solutions that make a measurable difference at enterprise scale.
Seize this opportunity to build trusted, enterprise-grade analytics that matter—take the next step with us today!
Date Posted
30-Oct-2026Closing Date
13-Nov-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. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
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Bengaluru, KA, IN
Working pattern and location restrictions need checking in the full posting.
13-Nov-2026 AstraZeneca 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. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.