Senior Data Analyst & Development Lead
Bengaluru, KA, India
Egis Group
Egis is an end-to-end global engineering and operating firm. We’re working side by side with clients to create a sustainable future for communities everywhere.Company Description
Egis is an international player active in architecture, consulting, construction engineering and mobility services. We create and operate intelligent infrastructures and buildings that respond to the climate emergency and contribute to more balanced, sustainable and resilient territorial development. Operating in 100 countries, Egis puts the expertise of its 19,500 employees at the service of its clients and develops cutting-edge innovations accessible to all projects. Through its wide range of activities, Egis is a key player in the collective organisation of society and the living environment of citizens all over the world.
With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group’s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis’ long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers.
Job Description
We are seeking a dynamic and analytical Sr. Data Analyst & Development Manager to join our team in BLR team . In this pivotal role, you will lead data-driven initiatives to support regional development projects and drive strategic decision-making processes.
- Oversee the collection, analysis, and interpretation of complex datasets to inform regional development strategies.
- Lead the development of integrations to enable seamless data flow across various systems, including ERPs.
- Develop, implement, and optimize scalable databases and data systems to support organizational needs.
- Collaborate with cross-functional teams to define data requirements, deliver solutions, and drive data-driven decision-making.
- Design and build interactive dashboards and reports using Power BI to provide actionable insights for stakeholders.
- Spearhead digital transformation initiatives to modernize processes and enhance data-driven strategies.
- Automate workflows and data pipelines to improve operational efficiency.
- Implement best practices in data governance, ensuring data accuracy, security, and compliance with relevant regulations, aligned with the Group's strategy.
- Mentor and lead a team of data analysts, fostering professional growth and promoting best practices in data management and analytics.
- Manage and prioritize multiple projects simultaneously, ensuring timely and impactful delivery of results.
Qualifications
Qualifications
- Bachelor's degree in Statistics, Data Science, Business Analytics, or related field
- 5+ years of experience in data analysis, with 3+ years in a leadership role
- Advanced skills in statistical analysis and proficiency in tools such as R, Python.
- Strong SQL expertise for database design, querying, and optimization.
- Experience in APIs development and system integration.
- Proficiency in ETL processes using tools like Python libraries (e.g., Pandas, NumPy).
- Expertise in data visualization tools like Power BI
- Excellent communication and presentation skills, with the ability to translate complex data into actionable insights
- Proficiency in business intelligence and data-driven decision-making processes
- Ability to work effectively in a multicultural environment
- Willingness to travel within the region as required
Additional Information
Years of Experience- 5-8 Years
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Business Analytics Business Intelligence Consulting Data analysis Data governance Data management Data pipelines Data visualization Engineering ETL NumPy Pandas Pipelines Power BI Python R Security SQL Statistics
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