HCapital Technologies Hiring Drive 2024: HCapital Technologies Hiring Drive 2024 for its data Analyst. HCapital Technologies Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s or Master’s Degree in Engineering. if you are interested, please apply as soon as possible.
Company Name: HCapital Technologies
Role: Data Analyst
Location: Mumbai
Experience: 3+ years
Qualification: Bachelor’s or Master’s Degree in Engineering
Batch: Any
Job Type: Full Time
Salary: Best in Industry
HCapital Technologies Hiring Drive 2024
Job Description:
- The role of Data Analyst shall be to work on analyses and reporting for businesses to support key decisions at Mahindra Finance.
- Data Analysts will deliver strategic analyses for CXO / Business Head level stakeholders and lay the groundwork for key decisions in the company.
Requirements:
- Bachelor’s or Master’s Degree in Engineering (CS/EE/Math) or Management,
- Expertise in Data Science, ML, Math
- 3+ years’ programming experience
- 2+Python, SQL, Azure Data Factory, Knowledge of Tableau is a plus
- Ability to synthesize large chunks of information and data from multiple people and files into summary documents in digestible format
- Basic understanding of loan process / finance business and/or Accounting is a plus
- years’ experience as a data analyst or data engineer
- MBA is a plus
Responsibility:
- Shall be the specialist on Data Analytics vertical. Shall collaborate with business managers to solve their business-data-challenges and provide impactful insights
- Shall deliver strategic analyses and participate in important business decisions
- Shall interact with multiple members from client side by meeting them, interviewing them, taking data and processing it.
- Shall create insights from data extracted from business units and convert them actionable recommendations
- Shall be hands on with use of Data Science tools like Python, Azure Data Factory, SQL. Ability to self-process the data and come out with insights is a must.
- Shall be able to apply techniques like Decision Trees, k-means clustering, etc. techniques to data problems.
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