Senior Data Analyst

2 Months ago • 5 Years + • Data Analyst

Job Summary

Job Description

We are seeking a Senior Data Analyst to design, develop, and maintain scalable data systems and pipelines using cutting-edge technologies. The role involves collecting, processing, and analyzing data; developing models and algorithms for decision-making; collaborating with cross-functional teams; conducting research to drive analytical insights; performing data profiling, integration, and validation; creating and maintaining ETL pipelines; and investigating data anomalies. The ideal candidate will have 5+ years of experience as a data analyst or data engineer, proficiency in Power BI, SQL, Python, and Perl, and a deep understanding of data warehousing. Experience with large datasets and distributed computing (e.g., Hadoop, Spark) is also required. Preference will be given to candidates with a background in finance or insurance.
Must have:
  • 5+ years experience as Data Analyst/Engineer
  • Power BI, SQL, Python, Perl
  • Data Warehousing expertise
  • Large dataset & distributed computing experience
  • Develop models and algorithms
  • Data profiling, integration & validation
Good to have:
  • Finance or Insurance background
  • Hadoop, Spark experience
Perks:
  • Tuition reimbursement
  • Mentorship programs
  • Lunch and learns
  • Online course subscriptions
  • Paid industry certifications
  • Business resource groups

Job Details

Description

We our seeking a qualified Data Analyst to join our client. The ideal candidate will be responsible for designing, developing, and maintaining scalable data systems and pipelines, using both established and cutting-edge technologies. They will be responsible for bringing new insights and identifying patterns hidden within complex business and technical data, turning these insights into actionable recommendations.


Responsibilities

  • Collect, process, and perform statistical analysis of data
  • Develop models and algorithms for decision-making
  • Collaborate with cross-functional teams to develop actionable insights
  • Participate in key business projects, conducting research to drive analytical insights
  • Perform data profiling, integration, and validation tasks
  • Create and maintain complex ETL pipelines
  • Investigate data anomalies and provide recommendations to the team

Requirements

  • Proven experience (5+ years) working as a data analyst, data engineer, or in a similar role.
  • Knowledge of data visualization and reporting tools Power BI is a must.
  • Experience with SQL, Python, and Perl
  • Deep understanding of data warehousing concepts and practices
  • Familiarity with frameworks and libraries for machine learning and artificial intelligence
  • Proven experience working with large data sets and distributed computing (e.g., Hadoop, Spark)
  • Looking for candidates preferably from finance or Insuarance background

Benefits

CloudHire’s mission is to create a positive and lasting impact in the world. By increasing competitiveness and efficiency in businesses, we believe that we are a catalyst for innovation across a multitude of specialties.

CloudHire works closely with its team to help you grow as much as we grow, and value your holistic development. Employees who are most successful at CloudHire take initiative, know how to identify problems and provide solutions, and always put the Team first.

With a belief that the journey to growth and greatness is ongoing, CloudHire gives employees the opportunity to continue learning and honing their skills with programs such as tuition reimbursement; mentorship programs; lunch and learns; online course subscriptions; paid industry certifications; business resource groups; and more.

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