As part of our continuing
strategy to grow and transition to a data-driven organization, we are adding a
BI Analyst to our team. You will be creating automated dashboards,
enhanced cloud data engineering solutions, and data governance applications across
our businesses. The BI Analyst will help drive the adoption of BI
dashboards and curated data marts as a first and second resource for
stakeholders with business questions.
Duties & Responsibilities:
·
Creating and maintaining
beautiful and insightful business dashboards for internal stakeholders.
·
Improving the lives of others by
making data collection and insights as simple as opening a webpage.
·
Curation of cloud certified
datasets based upon business requirements.
·
Architecting and maintaining ELT
pipelines in a cloud environment.
·
Creation of ad hoc and curated
SQL queries for personal or distributed business use through a data governance
and cataloguing tool.
·
Endless discovery and
research. If this last point is exciting,
you are someone we want to talk to.
Requirements & Skills:
General:
- Bachelor’s
degree in Data Science, Mathematics, Computer Science, Information Systems
or related field, advanced degree a plus.
- 3+ years of experience creating datasets
and dashboards for stakeholders across multiple lines of business,
preferably with some financial experience.
- A well-rounded individual who is
generally curious about data and doesn’t just take orders but is adept at
drawing conclusions and recommending actions based upon the analysis they
perform.
- Someone with a creative drive who knows
how to intelligently manipulate data and craft visually appealing and
effective visualizations.
- Experience presenting results up and down
the organization, from entry-level to the CEO
Technical:
- Expertise in SQL query development
(T-SQL, PostgreSQL, Oracle, Snowflake).
- Expertise with at least one BI tool
(Power BI, Tableau, Looker, Sisense, etc).
- Experience with a cloud data warehouse
environment (Snowflake preferred).
- One or more years of experience with
Python, manipulating data with Pandas data frames.
- Exposure to data governance principles,
including data lineage and data cataloguing, bonus for working with a
cloud data governance tool (Alation, data.world, Atlan, Castor, etc).
- Understanding of statistical significance
and familiar with principles such as principal component analysis and
confidence intervals.
- Deep knowledge of time intelligence and
manipulation
Key Skills: