Senior Data Analyst

at  Mobica

Company Description
Mobica is a global software solutions and services company, delivering enabling technologies that transform business outcomes. We offer scalable custom software engineering with technical and delivery excellence, across the stack, from chip to cloud - and beyond.
Since 2004, our dedication to innovation and enabling technologies has led us to partner with many top global companies with success across the Automotive, Silicon, Finance, Media, Telecom and other industries. We turn our customers’ complex business challenges into a competitive advantage through our deep cross-industry expertise and our ability to deliver at scale.
Job Description
About the Customer: They are a globally recognized leader in athletic footwear, apparel, and sports equipment. They are dedicated to innovation, quality, and inspiring athletes around the world.
Position Overview: We are seeking a highly skilled Senior Product Analyst to join our team. This role is crucial in designing innovative and effective analytics solutions to solve complex challenges and support the business priorities. As a Senior Product Analyst, you will work closely with various stakeholders to frame and translate business questions into analytically driven products, ensuring our operations and product offerings remain at the forefront of the industry.

QUALIFICATIONS

• High proficiency in SQL for analyzing large structured datasets.
• Knowledge of data modeling and data architectures.
• Excellent collaboration and communication skills, with the ability to work effectively in team-oriented roles.
• Self-directed with the ability to thrive in ambiguous environments.
• Experience in requirement gathering and stakeholder interaction.
• Familiarity with handling moderate to large-scale data sets (>100GB).
• Preferred experience with Python, Databricks, Spark, and other Big Data technologies.
• Familiarity with source control tools like GitHub and related development processes.
• Experience with data visualization tools (e.g., Tableau).
• Knowledge of SAP and supply chain operations is a plus.
  Additional Information

• Design and implement innovative analytics solutions to address unique business challenges.
• Aggregate and analyze data from internal and external sources to identify patterns and trends.
• Collaborate on data management projects and restructure current data architectures.
• Partner with insights, engineering, and reporting teams to translate requirements into actionable insights.
• Troubleshoot data issues and conduct root cause analysis to resolve operational challenges.
• Serve as a thought partner to product owners and other stakeholders, ensuring business questions are effectively addressed through data-driven solutions.
• Support the engineering team by decomposing epics into detailed functional and business requirements.
• Proactively identify and address roadblocks, triage defects, and provide clarity on issues as needed.