• Job Description

  Req#: 407716
  !*!Interprets data and turns it into information which can offer ways to improve how the data is used within the business, thus affecting business decisions. Gathers information from various sources and interprets patterns and trends. Develops reports and dashboards to visualize findings.
  Conducts descriptive and diagnostic analytics on data sources.
  Applies machine learning and machine learning tools on data and metadata to improve data quality.
  Identifies patterns and trends in data sets.
  Creates reports and dashboards on analysis results using business intelligence technologies.
  Develops data profiles for data tables and elements in the data lake.
  Creates data catalog entries, ensures data catalog metadata quality.
  Analyzes diverse data sets to identify data quality, coherency and integrability issues and reduce data redundancy.
  Collaborates to develop data cleansing methods and rules.
  Assists in creation and maintenance of documentation of key decisions, rules, controls and processes.!*!

  Skills

  Data Literacy - Expresses data in context, including data sources and constructs, analytical methods and applied techniques; describes the use-case application and resulting value.
  
  Data Profiling - Assesses data issues and cleansing requirements to perform data extraction, mapping, collection, and testing; establishes good, quality data.
  
  Data Communication and Visualization - Constructs a tale of the business problem, root cause, solution options, and opportunities through illustrating data visually, including reports and dashboards.
  
  Data Quality - Identifies, understands and corrects flaws in data that supports effective information governance across operational business processes and decision making.
  
  Data Analytics - Discovers, interprets and communicates qualitative and quantitative data; determines conclusions relying on knowledge of business or functional frameworks; simultaneously applies statistics, data validity, data visualization, and problem solving approaches to effectively extract meaningful patterns and business insights; presents conclusions and outcomes that enable data driven business decisions.
  
  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.
  
  Tech savvy - Anticipating and adopting innovations in business-building digital and technology applications.
  
  Action oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

  Education, Licenses, Certifications

  College, university or equivalent degree preferred or equivalent work experience in relevant technical discipline.
  This position may require licensing for compliance with export controls or sanctions regulations.

  Experience

  Relevant experience preferred such as working in a temporary student employment, intern, co-op, or other extracurricular team activities.
  Knowledge of the latest technologies and trends in data science is highly preferred and includes:
  - SQL query language execution on NOSql and SQL sources
  - Exposure to Agile software development
  - Exposure to IoT technology
  - Data profiling tools, technologies and coding
  - Data Catalog tools and technologies
  - Business intelligence tools and technologies
  - Exposure to Big Data open source
  - Clustered compute cloud-based implementation experience
  

  - should be able tounderstand customer's PBI requirements

  - should be able tocreate wireframes wherever required

  - should be able towork on all PBI development independently

  - should be able tocontribute to client calls to provide expert advice, suggestions, best approach

  - should be good withmedium to complex PBI work

  - should be able toguide/groom other team members if needed

  - should have skilledlevel ETL knowledge and hands on experience

  
  

  Skill Sets:

  Mandatory - SQL, PowerBI, DAX, Hands on experience withat least One ETL tool

  Good To have - MSBI (SSIS, SSAS, SSRS), Python

• About the company

  Cummins is an American multinational corporation that designs, manufactures, and distributes engines, filtration, and power generation products.

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