Associate - Data Intelligence Group - (Data Engineering)-Bangalore/Pune

4 weeks ago


Bengaluru, India TresVista Full time

About TresVista

TresVista is a global enterprise offering a diversified portfolio of services, including data analytics, investment diligence, industry research, business development, fund administration and accounting. Working with a wide array of clients, including asset managers, advisors, corporates, and entrepreneurs, TresVista currently has over 1,500 employees across offices in Mumbai, Pune, Bengaluru, New York and London, and provides high-caliber support and operating leverage for over 1,000 clients across geographies and asset classes.


Overview:

TresVista is looking to hire an Associate in its Data Intelligence Group team, who will be primarily responsible for managing clients as well as monitor project execution both for the clients as well as internal teams. The Associate would be directly managing a team of 3-4 Data Engineers & Analysts across multiple projects and execute data engineering efforts for our clients. The Associate would be joining the current team of 30, which is a mix of Data Engineers, Data Visualization Experts, and Data Scientists.


Key Responsibilities:

  • Interacting with the client (internal or external) to understand their problems and work on solutions that address the client needs
  • Driving projects and work closely with a team of individuals to ensure proper requirements are identified, useful user stories are created, work is planned logically and efficiently to deliver solutions that support changing business requirements
  • Managing the various activities within the team, strategizing how to approach tasks, distribute information to the various team members, and structure various tasks performed by the members of the team
  • Conducting meetings, document, and communicate findings effectively to clients, management and cross-functional teams
  • Creating Ad-hoc report for multiple internal requests across departments
  • Automating the process using data transformation tools


Prerequisites:

  • Proficient in at least one of the Statistical tools (i.e., R, Python)
  • Advance knowledge of the DBMS and Data Warehouse concepts, i.e., ETL, advanced querying, using one of the tools like SQL, NoSQL, HIVE, etc.
  • Working experience in cloud technologies
  • Good level of expertise in MS-Excel and Macro
  • Understanding of at least one of the visualization tools (Tableau, Power BI, Qlik View, etc.)
  • Experience in Linux will be highly preferred
  • Experience in Machine Learning tools and techniques will be preferred
  • Strong analytical problem-solving, interpersonal and communication skills
  • Team handling and client communication experience would be preferred
  • Experience in the financial services domain will be an added plus


Experience:

3-4 years


Education:

BTECH/MTECH/BE/ME/MBA in Analytics


Compensation:

The compensation structure will be discussed during the interview



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