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Data Analyst (Analytics Team)

Data Analyst
Analytics Team

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Position manager:

Eugheniy Shustur

Eugheniy Shustur

Recruiter, Brainstack

Phone:

+380 63 517 06 35

E-mail:

[email protected]

Telegram:

@Eugeniy_Recruiter

Brainstack_ is a fast-growing product company that develops high-tech solutions for customers in more than 100 countries. Armed with the latest technologies and a young ambitious team, we strive to be the best in what we do. We strongly believe that the personal growth and self-development of every team member is one of the pillars of a successful business strategy. That’s why we are ready to provide all the tools and support necessary for your professional journey.

Here, there’s no room for bureaucracy or micromanagement — each team can create its own ecosystem that’ll ensure max productivity and perfect teamwork.

Brainstack_ is seeking an experienced and motivated Data Analyst to organize our analytics function, and set the strategy and drive the vision for the Analytics department across the whole business.

As a Data Analyst, you will be shaping the future of the Company and working directly with Heads of departments (Development, Billing, Marketing, Customer Care, etc.).

Your main goal will be to help our business use data to drive high performance and quality.

Responsibilities:
— Business Intelligent development (Creation of an automated reporting In Tableau, work with Data Engineers to design DWH scheme and ETL processes).
— Data Analysis to identify the causes of deviations in business metrics, as well as optimization of activities.
— Evaluation of experimental results (A/B tests).
— Billing logic optimization: AR, decline reason analysis, refunds and chargebacks forecasting.
— Forecasting the financial results.
— Participation in business optimization projects.

Required skills:
— Technical or Economics Degree.
— 2+ years of professional experience in an analytical role.
— Good theoretical background in statistic, hypothesis testing and familiar with multivariate regression analysis (Logistic Regression, etc.)
— Good Knowledge of Python/R, SQL (MySQL, PostgreSQL).
— Experience with data warehousing and visualization tools (Tableau / Powe BI).
— Web analytics knowledge, experience with Google Analytics is a plus.
— Excel at a high level (pivot tables, connection to external sources).
— Analytical thinking, ability to find patterns in studied data sets, reasons for the deviations of indicators that describe business processes, briefly and accurately focus on the main causes of deviations.
— Intermediate English level or higher.

Would be a plus:
— Good understanding of digital marketing, understanding of online business, knowledge of its main specific indicators.
— Experience in predictive analytics (time-series analysis and forecasting, survival analysis, etc.).
— Experience with cloud computing services (GCP, etc.).

Soft skills:
— Problem Solving
— Aptitude for teamwork
— Curious
— Flexible
— Thinking outside the box
— Creativity
— Decision Making
— Proactive
— Adaptability
— Result-driven

We offer:
— Possibility to be part of the creative environment and make your input to it.
— Variety of social and professional activities.
— Friendly and warm culture.
— PE employment.
— 24 calendar days of vacation paid per year.
— Medical insurance.
— Documented sick days paid.
— 3 non-documented sick days paid.

Feel free to contact me for more information