Data Analyst / Business Analyst

9 Months ago • All levels

Job Description

This role combines data analysis (70%) and business analysis (30%). Responsibilities include designing, developing, and optimizing ETL processes using SQL, Informatica, and Spark; performing data profiling; developing real-time data pipelines using REST APIs; mapping data from various sources to target systems; collaborating with stakeholders to understand requirements and translate data insights into actionable business strategies; utilizing JIRA for project management; and using data insights to guide business decisions. The ideal candidate will have a strong background in ETL and data engineering, be proficient in SQL, Informatica, Spark, and REST APIs, and possess excellent communication and stakeholder management skills.
Good To Have:
  • Agile project management methodologies
Must Have:
  • ETL and Data Engineering
  • SQL, Informatica, Spark, REST APIs
  • Data profiling, Source to Target Mapping
  • Real-time data pipelines
  • Translate data into business language
  • Stakeholder engagement & JIRA management

Add these skills to join the top 1% applicants for this job

jira
spark
sql
foundation
data-analytics
business-analysis

Project description

This project aims to leverage a hybrid professional with a strong foundation in both data analytics (70%) and business analysis (30%). The role focuses on optimizing data processes, building efficient pipelines, and translating data insights into actionable business strategies for stakeholders.

Responsibilities

Data Analysis and Engineering (70%):

ETL Development: Design, develop, and optimize ETL processes to ensure smooth data flow from source to target systems, leveraging tools like SQL, Informatica, and Spark.

Data Profiling: Perform comprehensive data profiling to assess data quality, structure, and integrity, ensuring that the extracted data meets business needs.

Real-time Data Pipelines: Develop and maintain real-time data integration pipelines using REST APIs, ensuring real-time data availability for key business operations.

Source to Target Mapping: Work closely with the data engineering team to map data from various sources to target systems, ensuring accurate data transformations and alignment with business logic.

Business Analysis (30%):

Stakeholder Engagement: Collaborate with business stakeholders to understand their requirements, translate complex data insights into clear, actionable business language, and present meaningful reports.

JIRA Management: Utilize JIRA for project tracking and documentation of business requirements, ensuring efficient communication and tracking of tasks, issues, and enhancements.

Data-Driven Decision Making: Use data insights to guide business decisions, helping stakeholders to make informed choices backed by accurate data analysis.

Skills

Must have

70 % Data Analyst and 30 % Business Analyst (Mix of DA and BA role)

ETL and Data engineering background

SQL, Informatica, Spark, Rest APIs

How to translate data from source to target, Data profiling

Knowledge of Real-time data pipelines

Translate the data into business language to present to stakeholders

Nice to have

Familiarity with Agile or other project management methodologies.

Other

Languages

English: B2 Upper Intermediate

Seniority

Senior

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