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Data Analysis Practice Lead in Viseven

Posted more than 30 days ago

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Viseven

Viseven

0
0 reviews
More than 5 years
Kyiv
Intermediate
Remote work
Viseven is looking for an experienced specialist for the role of Data Analysis Practice Lead. In this position, you will define metrics to track team performance, optimize query execution times, and optimize data management processes. You will drive business growth by identifying new opportunities, implementing cutting-edge solutions, and fostering a collaborative team environment. Your role involves applying agile methodologies to ensure timely delivery of projects and prioritizing requests for

Viseven is looking for an experienced specialist for the role of Data Analysis Practice Lead.

 

In this position, you will define metrics to track team performance, optimize query execution times, and optimize data management processes. You will drive business growth by identifying new opportunities, implementing cutting-edge solutions, and fostering a collaborative team environment. Your role involves applying agile methodologies to ensure timely delivery of projects and prioritizing requests for efficient resource allocation.

 

Responsibilities:

< ul>
  • Develop a comprehensive strategy and data roadmap for the development of the data analytics service as a corporate asset, with the goal of increasing profits and optimizing costs.
  • Lead the development and implementation of data management and governance policies and recommendations .
  • Act as a consultant in communication with clients, participate in pre-sale processes, providing professional support and ensuring high-quality services in the field of data analysis.
  • Cooperate with external and internal clients (omnichannel, marketing, finance, etc.) to understand needs, determine approaches for processing and managing data, improve services.
  • Strategically plan resources (internal / outsourced), their selection and engagement to meet business needs.< /li>
  • Standardize data management methods, tools, processes and practices to improve efficiency and reuse across projects.
  • Support data analyst team development, mentor and provide training opportunities.
  • Motivate the team to fully engage in work, explore their opportunities and strive for innovation in data management and analysis.
  • Ensure training and sharing of experiences within the team to increase collaboration and skill development.
  • li>Gradually expand services to provide more complex solutions using Data Science and Machine Learning (personalization, recommendations, etc.).
  •  

    Experience for skills:< /strong>

    • 5+ years of experience in the field of data analysis services, including design, development and implementation of projects.
    • Commercial experience in leading positions, impact on technological development of the company's data analytics function/services, successful launch of data processing products and project management ranging from minor updates to strategic changes.
    • Knowledge of data management best practices and industry standards, with a deep understanding of the data life cycle.< /li>
    • Experience of working with large volumes of data, Big Data platforms and tools.
    • Achieving success in the development of small teams in functional areas of the company or services.
    • A leader focused on achievement of goals, with experience in forming highly effective teams.
    • Motivated and result-oriented, with planning and team organization skills.
    • Excellent communication skills, command of the English language at the upper-intermediate level and above .
    • Experience of working with the main xuseless services (AWS, Google Cloud or Azure).
    • Experience in the pharmaceutical / FMCG industry (will be an advantage).
    • English language — Upper-Intermediate and above.
    • /ul>

       

      Will be an advantage:

      • Understanding Omnichannel strategies and approaches, for collaboration and the ability to provide more comprehensive solutions.
      • Adobe/SFMC campaign management.
      • Working with third-party media data and operations.
      • Google Analytics (GA) data.
      • Experience with innovative technologies and capabilities including IOT, Data Science, AI (data models and related services).
      • Customer Data Platform (CDP).

       

      What do we offer?

      • Competitive remuneration and regular salary reviews
      • Professional and career development
      • Paid vacation — 18 working days per year (20 working days after 2 years of cooperation)
      • Sick leave without supporting documents — 4 working days per year
      • Documented sick leave — 20 working days per year
      • Leave for family reasons - 3 paid working days (in case of marriage, birth of a child or bereavement)
      • Comprehensive medical insurance (including a course of massages and physical procedures)
      • < li>English language courses
      • Opportunity to participate in professional forums and conferences
      • Regular corporate events and team building
      • Experienced team and friendly atmosphere
      • Pleasant working environment: comfortable, fully equipped office and the possibility to work from home
    More than 5 years
    Kyiv
    Intermediate
    Remote work
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