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Data Analyst

WHO WE NEED

We are looking for a well-organized Junior Data analyst to join our client’s software development team. 

Our ideal candidate – someone who is interested in data analysis and is also willing and able to do QA work, has advanced English, a proactive attitude and a great deal of enthusiasm.

Our client is the leading provider of daily pricing and reference data for hundreds of growth-stage and pre-IPO shares. They are dedicated to providing institutional investors with crucial insights, enabling them to make informed, timely decisions.

You will develop the platform captures secondary market activity from top-rated brokers, unlocking daily pricing & liquidity color to improve trade execution, manage risk, refine valuation inputs, and offer auditable compliance data.

AS A Data Analyst, YOU’LL HAVE THE RESPONSIBILITIES:

  • Conduct thorough testing of software applications.
  • Develop and execute test plans, cases, and scripts.
  • Identify and report software defects.
  • Collaborate with the development team to resolve issues.
  • Collect, analyze, and interpret large datasets.
  • Develop data models and statistical algorithms.
  • Generate reports and visualizations.
  • Identify insights and trends from data.
  • Ensure data quality and governance.
  • Collaborate with stakeholders to understand requirements.
  • Present findings and recommendations.
  • Facilitate communication between teams.

KNOWLEDGE, SKILLS, COMPETENCIES, AND EXPERIENCE:

  • Professional experience with SQL and understanding of data analysis at a high level
  • Professional experience in QA/DA at least 1 year (or a very motivated and self-organized person)
  • Working knowledge of and experience with SQL queries, RDBMS, e.g., MS SQL, PostgreSQL, MySQL
  • Willingness to combine QA and Data Analyst responsibilities
  • Highly focused and diligent attitude to daily tasks, interest in and ability to discover peculiarities in data,
  • Advanced (C1+) level of verbal communication in English
  • Good team player and fast learner.

BONUS POINTS IF YOU HAVE:

  • Computer Science, Data Science or similar education
  • Basic knowledge of Python and data management libraries, e.g., Pandas
  • Experience with data analysis, ETL, and similar programs
  • Experience with data analytics, e.g., Microsoft Power BI, Google Looker, or others
  • Experience with no-SQL databases and other data sources
  • Completed professional courses in QA, SQL (or Data Analysis)

CLIENT AND DOMAIN:

  • Client: a product software company
  • Country: UK
  • Domain: Financial Services

Apply now!

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