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- Managing analytics applications to integrate, consolidate and cleanse data to load into a structure for use in reporting applications. ETL (extract, transform, and load)
- Work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for business owners to interpret.
- Acquiring datasets that align with business needs and creating data models (data marts) that can be accessed by BI Systems Analysts as well as end users for report creation.
- Manage Data Quality and Velocity for production datasets.
- Transforming data into useful, actionable information.
- Collaboration with management to understand department reporting objectives.
- Automation and scripting, writing scripts to automate manual repetitive tasks with Python, Excel VBA, or TM1 Turbo Integrator.
- Relevant corporate finance experience exhibiting knowledge of financial planning, budgeting and forecasting functions and related processes.
- 7+ years of relevant experience including system configuration, model building and developing reports or dashboards
- Partnering with peer Finance teams to ensure consistent design and integration.
- Working with cross-functional teams to develop solutions that accumulate data, alleviate cumbersome manual processes, and ensure financial results are accurate.
Consultant Specialist - Chennai, India - BirlaSoft
Description
Data Engineer will primarily prepare data for analytical or operational use by creation of business unit specific Data Marts within the data warehouse.
The goal is to make data easily accessible and to optimize the organization analysis opportunities by designing and building systems for collecting, storing, and analyzing data at scale.
The data engineer utilizes the ETL process to move data from databases and other sources into a single
repository, for example: Planning Analytics.
Key Job Elements
Duties and responsibilities