Pune, IND
21 hours ago
Data Analytics Team Leader
**DESCRIPTION** **Key Responsibilities:** + Facilitate data, compliance, and environment governance processes for the assigned domain. + Lead analytics projects to produce insights for the business to improve decision making, delivering results using reports, business intelligence technology, or other appropriate mechanisms. + Integrate data analysis findings into governance solutions. + Ingest key data for assigned domain into the data lake, ensuring creation and maintenance of relevant metadata and data profiles. + Coach team members, business teams, and stakeholders to find necessary and relevant data when needed. + Contribute to relevant communities of practice promoting the responsible use of analytics. + Develop the capability of peers and team members to operate within the Analytics Ecosystem. + Mentor and review work of less experienced peers and team members, providing guidance on problem resolution. + Integrate data from warehouse, data lake, and other source systems to build models for use by the business. + Cleanse data to ensure accuracy and reduce redundancy. + Lead preparation of communications to leaders and stakeholders. + Design and implement data/statistical models. + Collaborate with stakeholders to drive analytics initiatives. + Automate complex workflows and processes using Power Automate and Power Apps. + Manage version control and collaboration using GITLAB. + Utilize SharePoint for extensive project management and data collaboration. + Regularly update work progress via JIRA/Meets (also to stakeholders). **RESPONSIBILITIES** **Qualifications:** + College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. + This position may require licensing for compliance with export controls or sanctions regulations. **Competencies:** + Balances stakeholders: Anticipating and balancing the needs of multiple stakeholders. + Collaborates: Building partnerships and working collaboratively with others to meet shared objectives. + Communicates effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. + Customer focus: Building strong customer relationships and delivering customer-centric solutions. + Manages ambiguity: Operating effectively, even when things are not certain or the way forward is not clear. + Organizational savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics. + Data Analytics: Discovering, interpreting, and communicating qualitative and quantitative data; determining conclusions relying on knowledge of business or functional frameworks; simultaneously applying statistics, data validity, data visualization, and problem-solving approaches to effectively extract meaningful patterns and business insights; presenting conclusions and outcomes that enable data-driven business decisions. + Data Mining: Extracting insights from data by identifying relationships and patterns through use of a suite of data exploration and data visualization techniques to understand the underlying structure of the data and enable sound conclusions upon model building. + Data Modeling: Creating, writing, and testing data models, test scripts, and build scripts using industry standards and tools, version control, and build and test automation to meet business, technical, security, governance, and compliance requirements. + Data Communication and Visualization: Constructing a tale of the business problem, root cause, solution options, and opportunities through illustrating data visually, including reports and dashboards. + Data Literacy: Expressing data in context, including data sources and constructs, analytical methods, and applied techniques; describing the use-case application and resulting value. + Data Profiling: Assessing data issues and cleansing requirements to perform data extraction, mapping, collection, and testing; establishing good, quality data. + Data Quality: Identifying, understanding, and correcting flaws in data that supports effective information governance across operational business processes and decision making. + Project Management: Establishing and maintaining the balance of scope, schedule, and resources for a temporary effort (a “project”). Ensuring results/impact from temporary effort are fully realized as possible. + Values differences: Recognizing the value that different perspectives and cultures bring to an organization. **QUALIFICATIONS** **Technical Skills:** + Advanced Python + Databricks, Pyspark + Advanced SQL, ETL tools + Power Automate + Power Apps + SharePoint + GITLAB + Power BI + Jira + Mendix + Statistics **Soft Skills:** + Strong problem-solving and analytical abilities. + Excellent communication and stakeholder management skills. + Proven ability to lead a team. + Strategic thinking + Advanced project management **Experience:** + Intermediate level of relevant work experience required. **Job** Quality **Organization** Cummins Inc. **Role Category** Remote **Job Type** Exempt - Experienced **ReqID** 2414022 **Relocation Package** No
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