Key Facts

Remote From:

Kazakhstan

Full time

Mid-level (2-5 years)

English

Hard Skills

Other Skills

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Metric System
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Multitasking
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Collaboration

Roles & Responsibilities

4+ years of experience in product/data/business/operations analysis in a high data-rich environment
Excellent proficiency in SQL
BSc/BA in a highly quantitative field such as mathematics, statistics, or engineering
Experience working with AI tools for analytics

Requirements:

Own analytical aspects of assigned product domains, building and maintaining reports, dashboards, and metrics while ensuring data integrity
Analyze and optimize products and activities, advising the product team through data mining and business logic
Define alerts, monitor performance, and drive process efficiency; provide supporting data for prioritizing new features and initiatives
Collaborate with Product, R&D, Operations, and Business teams to drive data-informed decisions and manage multiple data initiatives (ongoing and ad-hoc)

Commit

About Commit

Commit is a global tech services company with offices in New York, Israel, and Europe. The company was founded in 2005 and has over 700 multi-disciplinary innovation experts who serve a broad range of companies, from small startups to large enterprises in multiple business sectors. Commit specializes in advanced technologies and applications with dedicated practices in Software, IoT, Big Data, Cloud, Cyber, Collaboration, Data center migration projects, and more. Commit offers innovative, end-to-end technology solutions by developing custom software and IoT platforms for clients looking to build their next-gen products within the modern ICT world. Commit’s complete and comprehensive engineering powerhouse of resources, and proprietary Flexible R&D methodology helps transform its clients’ technology visions into high-quality products while reducing costs and improving time-to-market.

Company type: SME

Founded: 2018

Company size: 501 - 1000

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Job description

Description

The company is a pioneer in AI-powered sports content technology, helping clients worldwide connect with their fans through personalized, AI-driven sports content experiences. Its platform automates the creation, management, and distribution of sports content, enabling sports rights holders to expand their reach, grow fan bases, and unlock new revenue opportunities across digital platforms.They are currently looking for a Product Analyst to join their team and help drive data-informed product decisions.

What You’ll do:

You'll be the owner of all analytical aspects of your domains
Build and maintain reports, dashboards, and metrics, in addition to monitoring the integrity and validity of the data reported
Use analytical tools, data mining, and business logic to consult the product team on various day-to-day tasks
Analyze and optimize products and activities, take part in design and implementation, and be a key part of strategic product decisions
Own and manage multiple data initiatives and projects both on an on-going and an ad-hoc basis
Define alerts and monitor performance to improve processes efficiency
Provide supporting data for prioritizing new features and initiatives
Work closely with the Product, R&D, Operations and Business teams

Requirements

Requirements:

4+ years of experience working in a Product/Data/Business/Operations Analysis position in a high data-rich environment
Excellent proficiency in SQL
Excellent communication skills with the ability to deliver results of analyses clearly and effectively
Fast learning capabilities and proven ability to multitask - working on several projects at a time
BSc/BA in a highly quantitative field such as mathematics, statistics, or engineering
Proven experience working with AI tools for analytics
Experience in Tableau/Power BI/Looker - an advantage
Experience in analyzing datasets via an LLM tool - an advantage
Python/R experience - an advantage