Data Analyst / BI Engineer (offline)

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.

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