Cummins Inc.

Data Analyst

Cummins Inc.

full-time

Posted on:

Location Type: Hybrid

Location: Ahmedabad • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

CloudIoTNoSQLOpen SourceSQL

About the role

  • 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

Requirements

  • College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required
  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysismachine learningdata profilingdata cleansingSQLNoSQLbusiness intelligencedata visualizationdescriptive analyticsdiagnostic analytics
Soft skills
collaborationcommunicationproblem-solvingcritical thinkingorganizational skills