Job
- Level
- Senior
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Karlsruhe
- Working Model
- Onsite
Job Summary
In this role, you will develop data pipelines, analyze complex datasets, and create insightful reports to optimize product development and provide valuable insights for decision-making.
Job Technologies
Your role in the team
- We are seeking a highly skilled and results-driven Senior Analyst in Product Data Engineering to join our dynamic team.
- The successful candidate will be responsible for driving data solutions, supporting data integration, and providing advanced analytics to optimize product development and performance.
- This individual will play a critical role in analyzing complex product data and delivering insights that drive decision-making across the business.
- Design, develop, and manage data pipelines that support product data integration and engineering initiatives.
- Analyze large, complex datasets to extract actionable insights for product development, performance optimization, and business strategy.
- Collaborate closely with product, engineering, and business teams to understand product needs and translate them into data-driven solutions.
- Monitor data quality, integrity, and accuracy, ensuring that data is reliable and accessible for decision-making.
- Design and implement efficient data models to support product analysis and performance metrics.
- Provide advanced analytics, visualization, and reporting capabilities to help guide product strategy and key business decisions.
- Utilize machine learning and statistical techniques to develop predictive models that improve product outcomes.
- Lead and mentor junior team members, sharing knowledge and best practices related to data engineering and product analytics.
- Identify and implement process improvements to streamline data processes and increase operational efficiency.
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Our expectations of you
Education
- Bachelor's or Master's degree in Computer Science, Data Engineering, Statistics, or a related field.
Qualifications
- Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and automation.
- Expertise in data integration and ETL processes, including working with cloud-based data platforms (e.g., AWS, GCP, Azure).
- Solid understanding of product metrics and KPIs, with the ability to create meaningful reports and dashboards.
- Strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Knowledge of product development processes and how data engineering supports them.
- Familiarity with A/B testing methodologies and experimentation frameworks.
- Understanding of data governance and compliance practices.
Experience
- 4+ years of experience in data engineering or analytics, preferably with a focus on product data.
- Experience with data visualization tools (e.g., Tableau, Power BI) and reporting.
- Experience with machine learning, statistical modeling, and data analysis techniques.
- Experience in agile development environments.
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Topics that you deal with on the job
Job Locations
This is your employer
Indegene
Indegene Limited, headquartered in Bengaluru, India, provides specialized services and solutions for the biopharma and healthcare sectors. The established company supports life science firms in digital transformation and operates globally.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Senior AI Engineer
- Location
- Karlsruhe
- Working Model
- Onsite
- Diversity
- Open for all genders
