Data Analyst

3 - 5 years

0 Lacs

Posted:6 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Data Analyst


Experience -


Roles & Responsibilities

  • Hands on experience in data analytics tools such as Anaconda, knowledge of python packages such as pandas and scikit learn.
  • Past experience in deriving user stories using dashboard
  • Understand the organisational reporting requirements and propose configuration solutions that meet these.
  • Proactively work with the Operational Managers and Senior Management team to ensure that information provision is tailored to their priorities and supports their decision-making requirements.
  • Support service development and income generation by ensuring data capture and flows are built into service specifications to enable effective analysis and reporting of activity.
  • Comply with all information governance requirements, including the General Data Protection Regulations.
  • Act as gatekeeper for data, managing data integrity and ensuring data is accurate before being utilized for analysis and reporting.
  • Conduct Data Quality Audits as necessary.
  • Work with Operational Managers to develop appropriate reports and audits of system usage, and data quality.
  • Consult and work with external ICT technicians and the IT Manager in the implementation and maintenance of software, testing upgrades, version control and compatibility with associated hardware and software, for the systems.
  • Extract and collate information from a variety of internal and external sources.
  • Interpret and Analyse large and varied amounts of complex data to provide accessible, meaningful and understandable information for a broad spectrum of users.
  • Support data provision by providing accurate and meaningful routine, scheduled and ad hoc reports to a variety of users.
  • Provide analysis and interpretation to support the evaluation of organizational activities.


Qualification

  • B. E / B.Tech / MCA or equivalent degree in IT/CS or BS in Mathematics, Economics, Computer Science, Information Management or Statistics with good academic credentials.

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