Position: Data Analyst
Company: Matic
Category: Data Science
Experience required: 1y
English level: intermediate
Published: 2021-06-01T00:00:00+03:00

**Project description**

As a Data Analyst at Matic, you will turn data into information, generate analytical insights, and drive business outcomes. We use data to set the direction of our business, so you will work with business stakeholders to identify how to measure the state of their objectives and analyze the results. You will also be able to drive change within our technology to capture the right data as our company evolves. We are building a data driven culture by enabling self-service, creating effective visualizations, and acting as a data evangelist across the organization. This is a fast growing company where you will be able to make a huge impact on the growth of our business by utilizing your data skills.

Tools we use:
• Snowflake
• DBT
• Metabase
• Tableau

**Required skills**

•  1+ year of work experience with ETL, data modeling, and business intelligence big data architectures
• Proficiency in SQL
• Collaborative, will share information, best practices and experiences with others and will be willing to embrace new and innovative ideas.
• Intermediate level experience with Tableau for building Dashboards and Reports
• A basic understanding of statistical analysis (e.g. hypothesis testing, experimentation, regressions) and familiarity with statistical packages, such as Matlab, R, SAS or Python
• Some familiarity with the AWS cloud ecosystem.
• Basic understanding of modern data warehousing concepts and track record of applying these concepts on the job.
• Excellent written/verbal communication skills and aggressive attention to detail.
• Intermediate+ level of English, both spoken and written

**Responsibilities**

•  Develop a deep understanding of our business, the competitive environment, and our agency’s core metrics to analyze progress towards our business objectives
• Act as data liaison between business leaders; partner with data producers/consumers to ensure assumptions are being satisfied.
• Work with cross-functional stakeholders to translate business needs into product requirements which may be needed to track key metrics.
• Ensure derived data fields are correctly computed and uploaded.
• Develop dashboards and reports to enable all levels of business users gain actionable insights and make data driven decisions
• Build data sets to be published for self-service data exploration and analytics.
• Work with product and engineering to identify the highest-impact data products with the highest risk of inaccuracy.
• Be an educator and evangelist for our data by helping maintain proper data stewardship practices and deliver regular data briefings on key topics
• Conduct training and provide support for our go-to-market teams on the use of our data tools (Tableau and Metabase) so they may be able to conduct ad hoc analysis independently.
• Perform data analysis to assess the impact and deliver insights on changes to our business processes

**We offer**

•  Unlimited Paid Time Off (personal, sick, maternity/paternity leave)
• Hybrid office: you can work from home/office for a few days per week
• Medical insurance for you (100% of coverage) and for your spouse/kids (50% of coverage)
• 1100$/year for self-development: education, online courses, conferences, English lessons, books, etc. (50/50 coverage)
• 200$ for sports per year (50/50 coverage)
• Lunches coverage (130 UAH per working day)
• Accounting support (100% coverage)
• Continuous feedback culture: systematic 1-1 with your manager, performance review meetings every 6 months, and yearly compensation review
• Alternative coffee and specialty beans in the office :)