At Innover, we endeavor to see our clients become connected, insight-driven businesses. Our integrated Digital Experiences, Data & Insights and Digital Operations studios help clients embrace digital transformation and drive unique outstanding experiences that apply to the entire customer lifecycle. Our connected studios work in tandem to reimagine the convergence of innovation, technology, people, and business agility to deliver impressive returns on investments. We help organizations capitalize on current trends and game-changing technologies molding them into future-ready enterprises.
Take a look at how each of our studios represents deep pockets of expertise and delivers on the promise of data-driven, connected enterprises.
Experience Required
7-9 Years
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Role Overview
The role involves designing and developing data models, integrating heterogeneous data sources, performing advanced statistical analysis, and creating dashboards to support informed business decisions. The candidate will work closely with cross-functional teams to ensure data accuracy and deliver actionable insights.
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Primary Responsibilities
Design, develop, and test data models to import data from source systems based on project requirements.
Analyze heterogeneous source data and write SQL/PySpark scripts to integrate data from multiple sources.
Perform statistical analysis and interpret results to generate actionable insights for business decision-making.
Conduct data mining to provide actionable data in response to evolving business requirements.
Understand business needs and develop dashboards to meet those requirements.
Adapt to changing business requirements and implement best practices in data analytics.
Migrate data into standardized platforms (e.g., Power BI) and build critical data models to improve process performance and product quality.
Own technical implementation and documentation associated with datasets.
Provide updates on project progress, perform root cause analysis, and work on improvement areas (process, product quality, performance).
Deliver post-implementation support to ensure sustainable project benefits.
Build strong relationships with cross-functional teams to ensure data accuracy, consistency, and timeliness.
Independently manage stakeholder expectations and prioritize initiatives with minimal guidance.
Mentor and guide peers and junior team members.
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Mandatory Skills
Strong expertise in
Data Analysis & Statistical Analysis
.
Proficiency in
SQL
and
PySpark
.
Experience with advanced statistical techniques.
Knowledge of
SAP systems
(SAP S4, SAP ECC T-Codes & Navigation).
Expertise in database development and troubleshooting (MS Fabric, SQL Server, SAP HANA, Azure Synapse).
Ability to gather project requirements and convert them into analytical and technical specifications.
Excellent verbal and written communication skills for cross-functional collaboration.
Expertise in
Power BI
for report and dashboard development.
Proficiency in
Office 365
tools.
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Desirable Skills
Experience with
Agile/SCRUM
methodologies.
Understanding of enterprise server architecture and cloud platforms.
Ability to deliver training and presentations in areas of expertise.
* Good understanding of business processes, preferably in
Manufacturing/Inventory Management
domains.
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