Data Analyst-Data Management and Analytics-Data Ops/Data Analyst
At a glance
Mid-level Data Analysis & BI role at Fa Ewjt Saasfaprod1. Pune · full-time.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Break stakeholder requirements into sprint stories and tasks, then map that work to the solution’s logical model
- Connect business entities to technical attributes and spell out how each attribute should be transformed
- Own sprint task delivery, keeping work on schedule and checking its quality
- Discuss architecture options with the team, contribute design improvements and coordinate reviews with other leads
- Keep stakeholders informed about task progress, project status, risks and issues
What you bring
- At least two years of experience, with five to nine years specified for professional data analyst work
- A bachelor’s or master’s degree in any field
- Hands-on SQL or HQL for data exploration, plus experience with Hadoop, Hive or Spark
- Python and PySpark skills, with knowledge of wholesale banking, credit or lending
Who this fits
This mid-level role suits a data analyst who can translate business needs into data mappings and deliver work through Agile sprints. It is based in Pune, India, with a hybrid arrangement.
From the employer
- 5 - 9 years of professional experience as a Data Analyst with good decision-making, analytical and problem-solving skills.
- Working knowledge / experience of Big Data frameworks like Hadoop, Hive and Spark.
- Hands-on experience in query languages like HQL or SQL (Spark SQL) for Data exploration.
- Data mapping: Determine the data mapping required to join multiple data sets together across multiple sources.
- Documentation - Data Mapping, Subsystem Design, Technical Design, Business Requirements.
- Exposure to Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc.
- Data Asset design / build: Working with the data model / asset generation team to identify critical data elements and determine the mapping for reusable data assets.
- Understanding of ER Diagram and Data Modeling concepts
- Exposure to Data quality validation
- Exposure to Data Management, Data Cleaning and Data Preparation
- Exposure to Data Schema analysis.
- Exposure to working in Agile framework.
- SQL, Pyspark, Python with Wholesale Banking Domain knowledge / Credit & Lending domain knowledge.
- Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous
- Retail Credit / Traded Credit knowledge - applications will be considered.
Good To Have: - BFSI Domain knowledge
- Data Visualization - Tableau or Qlik Sense
- Exposure to Hadoop, Hive and ETL.
- Working knowledge of any cloud services like AWS or GCP or Azure.
- Any relevant certifications would be a plus.
Role & Responsibilities:
● Take complete responsibility for the sprint stories' execution.
● Understand the business requirements from the product/project stakeholders and break the requirements into simpler stories and tasks and do the necessary mapping of the tasks to the logical model of the solutions.
● Mapping of business entities to technical attributes with the logic for transformation defined clearly.
● Be accountable for the delivery of the tasks in the defined timelines with good quality.
● Follow the processes for project execution and delivery.
● Follow agile methodology.
● Working with the team leads closely and contribute to the smooth delivery of the project.
● Understand/define the architecture and discuss the pros-cons of the same with the team.
● Involve in the brainstorming sessions and suggest improvements in the architecture/design.
● Working with other teams leads to getting the architecture/design reviewed.
● Keep all the stakeholders updated about the project, task status, risks, and issues if any.
Bachelor's/Master's in any stream 2-5 years
Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Analysis & BI
Find me workBy the team behind dataroles.