Data Analytics Team Leader

Cummins India


Date: 3 weeks ago
City: Remote, Remote
Contract type: Full time
Remote
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.
  • Please note that this is a Hybrid role

Job Quality

Organization Cummins Inc.

Role Category Remote

Job Type Exempt - Experienced

ReqID 2414022

Relocation Package No

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