Senior Data Analyst I

LexisNexis Risk Solutions
Posted on

Experience
6 - 11 yrs
Job Location
Mumbai, India
Vacancy
1
Designation
Senior Data Analyst
Job Type
Not specified

Job Description

BASIC FUNCTIONS
This position performs data management and analysis tasks within a specific functional area or data type.
Requires heavy communication with data sources/contacts.
QUALIFICATIONS
  • 6+ years experience in data management area with analytical competencies demonstrated.
  • Bachelor s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required.
TECHNICAL SKILLS
  • Subject Matter Expert with development languages such as SQL, UNIX, Linux, XML, HPCC, Python, etc.
  • Subject Matter Expert with various data types and formats including, but not limited to: XML, flat files, delimited, etc.
  • Subject Matter Expert with data analysis tools and processes.
  • Excellent proofreading skills to see how data and facts can be linked together to create more meaningful conclusions.
  • Strong research skills.
  • Dealing with multiple data formats, including Excel spreadsheets, delimited files (such as CSV), and files with fixed-width layouts.
  • Ability and desire to learn new processes, tools, and technologies.
  • Problem-solving skills and attention to detail.
ACCOUNTABILITIES
  • Business support through data analysis and research.
  • Modify pre-designed queries to assess data for research purposes.
  • Independently run data statistics, including coverage stats, field populations, etc.
  • Run data profiles.
  • Support business or other data engineering teams with data subject matter expertise.
  • Complete new data evaluations to diverse audiences.
  • Create data documentation including mappings and quality thresholds.
  • Investigate, track, and report data issues.
  • Conduct data review and verification and ensure corrections/clarifications are made in a timely manner.
  • Strong level of intimacy within a specific data content area.
  • Provide technical problem solving to less technical teams (customer service, consumer advocacy, etc.).
  • Undertake and complete new data onboarding and/or production data management functions as assigned/required.
  • Utilize various data workflow management and analysis tools.
  • Resolve and/or guide data sources in resolving basic data issues within specific functional area or data type.
  • Produce basic ad hoc data counts, stats, examples as required.

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