Data Analytics Team Leader
Cummins Inc.
**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
Por favor confirme su dirección de correo electrónico: Send Email