Sr. Data Analyst - SAP Job

YASH Technologies Middle East

Pune District

On-site

INR 1,200,000 - 1,800,000

Full time

34 hours ago
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Job summary

YASH Technologies is seeking a Sr. Data Analyst - SAP in Pune, India. You will analyze, manage, and interpret data within SAP systems to drive business decisions across SAP S/4HANA, ECC, and Datasphere environments.

You will lead data migrations, ETL processes, and data quality initiatives, collaborating with cross-functional teams to optimize reporting and analytics. The role requires 5+ years of SAP data/analytics experience, strong knowledge of ERP data models, and proficiency with BI tools

Qualifications

  • 5+ years hands-on SAP Data & Analytics experience.
  • Experience with SAP Data Cloud, BW/4HANA, Datasphere.
  • Experience in Agile teams and projects.
  • Knowledge of ERP data models and data governance.
  • Strong BI delivery and analytics capabilities.

Responsibilities

  • Plan scope, timelines, resources, and migration approaches for data conversions.
  • Extract, transform, and load data; create and optimize dataflows and CDS data extractions.
  • Perform data cleansing, validation, and quality checks; standardize formats.
  • Collaborate with IT and business teams to improve data structures and reporting.
  • Develop reports to track key metrics and validate deployment/migration outcomes.
  • Validate data integrity post go-live; support issue resolution.
  • Engage with global teams to ensure timely task completion.

Skills

SAP Data Analytics
ETL Processes
CDS Views / BODS
SAP Modules (FICO, SCM, PM, SuccessFac
Power BI
Python / SQL
Databricks / Snowflake
Data Governance
Agile Methodologies
Data Modeling

Tools

BODS
SAP Datasphere
BDC
SAC
Azure Data Fabric
Copilot

Job description

Sr. Data Analyst - SAP Job

Date: Aug 21, 2026

Job Requisition Id: 65242

Location: Pune, IN Pune, MH, IN

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth - bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire Data Analytics Professionals in the following areas :

The Data Analyst is responsible and specializes in analyzing, managing, and interpreting data within SAP systems to support business decisions. This role involves working with ERP modules, extracting meaningful insights, ensuring data accuracy, and collaborating with business teams to improve processes and reporting.

They manage the entire lifecycle, from discovery and planning to post-go-live support, often adapting standard migration objects or creating custom ones for unique business needs.

This position will be working in virtual and culturally diverse teams, aligning closely with internal colleagues and partners to ensure successful assigned tasks completion.

ESSENTIAL RESPONSIBILITIES:
  • Planning & Strategy: Defining scope, timelines, resources, and migration approaches for data conversions
  • Data Analysis and Mapping: Extracting and analyzing source data for quality, completeness, and mapping to target structures from ERP system (SAP S/4HANA, SAP ECC, Salesforce, ModelN)
  • Execution: Performing data extraction, transformation, and loading (ETL). Create and optimize dataflows, workflows, and data extraction from CDS Views and Datasphere.
  • Cleansing & Validation: Perform data cleansing, transformation, and quality checks. (identifying and correcting inaccurate, incomplete or duplicate data) and standardizing formats.
  • Support: Performs and participates in root cause analysis of business problems, identifying and recommending solution alternatives, and develops reports to track key metrics and results
  • Validation & Testing: Verifying the integrity and accuracy of deployment/migrated data.
  • Collaboration: Collaborate with IT and functional teams to improve data structures.
WORKING CONDITIONS
  • Location: India
  • Environment: Standard office environment utilizing standard office equipment; some travel may be necessary.
  • Ability to work on projects with global team members outside of standard office hours.
  • Weekend work and overtime may be required.
  • Works in team and individual environments.
  • Up to 25% travel (more may be necessary for projects); domestic and international.
SPECIFIC SKILLS
  • Minimum of 3+ years of experience in designing, building, and supporting end-to-end BI and analytics solutions, from data ingestion and modeling to reporting and insights delivery.
  • Expertise in ETL processes and data transformation methodologies
  • Familiarity with various SAP modules (e.g., FICO, Supply Chain & Logistics, Production and Manufacturing, SuccessFactors).
  • Design and development of CDS Views, BODS data flows, and data virtualization layers for analytics enablement - SAP Business Data Cloud (BDC), SAP Analytics Cloud (SAC), SAP Data Services (BODS).
  • Methodologies: Understanding of ETL processes, data governance, and migration best practices.
  • Technical: Knowledge of ERP data models and modern analytics and data platforms (e.g., Azure Data Fabric, Power BI, Purview, Copilot, Python, SQL, Databricks, Snowflake, Microsoft Fabric, BigQuery and machine learning concepts).
  • Must be self-motivated, responsible, conscientious, and detail oriented.
  • Must have the ability to build lasting trusted partnerships across various functional areas and technical disciplines.
EXPERIENCE:
Essential:
  • Minimum of 5+ years of hands-on Experience with SAP Data & Analytics solutions, including SAP Business Data Cloud (BDC), SAP BW, SAP BW/4HANA, and SAP Datasphere.
  • Experience in working on Agile development teams and projects.

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles
  • Flexible work arrangements, Free spirit, and emotional positivity
  • Agile self-determination, trust, transparency, and open collaboration
  • All Support needed for the realization of business goals,
  • Stable employment with a great atmosphere and ethical corporate culture
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