Position: Data Analyst / BI Engineer
Company: Datrics
Experience required: 2y
Category: Data Analyst
English level: upper
Published: 2023-06-01T00:00:00+03:00

**Job Description**

We are seeking a specialist to aid in our data analysis initiatives. This individual will derive comprehensive, data-driven insights, uncover hidden patterns, perform predictive analytics, and present the results to end-users through dashboards.

**Duties and Responsibilities**

- Employ statistics and machine learning methodologies to reveal hidden correlations within data.
- Test hypotheses to identify mathematical foundations for the creation or enhancement of methods for obtaining and evaluating numerical data.
- Recognize relationships and trends in data, along with any factors that could influence the outcomes of research.
- Design, construct, and manage automated reporting and dashboards through interactive web application frameworks.
- Collaborate with the Data Engineering team in building and maintaining the logical and physical data models for Business Intelligence Data Warehouses.

**Requirements**

- At least 2 years of relevant work experience in data analytics, business intelligence, or data science.
- BS/MS degree in a quantitative field (e.g., statistics, economics, computer science).
- Practical experience with SQL, Python, and the application of statistical methods to analyze and model behavioral data.
- Proficiency in predictive analytics (Regression Models, Time-series analysis and forecasting, Survival or duration analysis), data mining (Clustering, Frequent Pattern Mining, Outlier Detection), and machine learning applications.
- Familiarity with statistics and machine learning toolboxes.
- Experience with "big data" technologies (e.g., BigQuery).
- Experience in developing interactive web apps.

**Will be a plus**

- Experience with cloud services (e.g., AWS, GCP).
- Experience with the production implementation of machine learning algorithms, such as regression, clustering, and time-series predictive analytics.
- Experience with Power BI.