Position: Business Intelligence Engineer/Analyst
Company: Monster
Category: Data Analyst
Experience required: 2y
English level: intermediate

Monster Lead Group is a marketing and software company based in the United States that specializes in mortgage marketing and related software. Our teams are based in the United States and Ukraine.  

 

The Monster team is looking for a qualified Business Intelligence Engineer/Analyst to join our data team. The data team has members in both Ukraine and the States.  

You will be working on an experienced data team that is focused on data engineering, business intelligence and advanced analysis. Your experience will complement and expand the team’s current expertise in data engineering. You will work closely with the data engineering team in refining the transformation process to support your work. You will dive deep into the various related datasets to better understand the various relationships and create first in class models.  

 

 

Responsibilities: 

    Design, build and operationalize reporting in our Looker (BI Tool).  

    Work directly with team members to document and develop requirements based on business needs to solve problems. 

    Write SQL in Snowflake to develop reporting tables based on gathered requirements  

    Monitor scheduled reporting for data issues and respond to identified issues by working with the data engineering team to update needed scripts to correct data issues 

Qualifications 

    Experience with working with stakeholders to analyze data and report back  

    2+ years of industry experience in Data Analysis, BI (Business Intelligence) or related field with experience analyzing, processing, and extracting value from large datasets 

    Ability to write high quality, maintainable, and robust coding in SQL 

    Ability to communicate both written and verbal in English 

    Bachelor's Degree in a Business, Computer engineering or related degree.  

Pluses  

    Familiarity with Snowflake (Data Warehouse) 

    Familiarity with Looker BI Tool 

    Familiarity with AWS 

    Familiarity with Python using Data tables for manipulation and analysis.