Data Analyst Python SQL

3 weeks ago

London, Greater London, United Kingdom HipHopTune Media Full time
Data Analyst Opportunity

Capua HR Limited is seeking a skilled Data Analyst to join a reputable London-based tech company. The successful candidate will be responsible for extracting, cleaning, and interpreting large datasets to provide actionable insights that drive decision-making and support the development of high-quality SaaS products.

The ideal candidate will be detail-oriented, analytical, and driven to support data-driven decisions. They will have a keen interest in data management and analysis, with experience in using statistical tools and programming languages such as SQL and Python.

The role offers significant training and development opportunities, allowing the candidate to enhance their analytical skills and expertise in using advanced data analysis tools within a dynamic, agile environment.

Main Responsibilities:

  • Extracting data from primary and secondary sources, then reorganizing this data in a format that can be easily read by either human or machine.
  • Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
  • Preparing reports for the management stating trends, patterns, and predictions using relevant data.
  • Collaborating with engineering and product development teams to implement and refine data collection techniques.
  • Assisting in the design and implementation of databases and data collection systems.
  • Ensuring data integrity and accuracy in all analytics activities.

Requirements:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • Experience with data models, database design development, data mining, and segmentation techniques.
  • Proficiency with statistical analysis tools (e.g., SAS, SPSS, R) and programming languages (e.g., SQL, Python).
  • A competitive salary range of £40,000 to £50,000 with potential for bonuses.
  • Extensive career development opportunities, including significant training in advanced data science techniques and tools.
  • Access to the latest tools and technologies in data science.
  • Regular team events, workshops, and networking opportunities.

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