Analytics Engineer
Company: Simply Business
Location: Boston
Posted on: October 19, 2024
Job Description:
Simply Business is more than our name. It's how we approach
insurance: Make it clear. Make it simple. Make it affordable. By
combining exceptional talent, technology, data, and knowledge,
Simply Business is the go-to online insurance brokerage that
protects small businesses and the entrepreneurs who work hard to
build them.We want team members who have the drive to challenge
boundaries. If you're smart and passionate about delivering
brilliant customer experiences, we'd love to hear from you.Why do
we need this role?
- This role will sit within the global Data and Analytics team
(DNA) in Simply Business. DNA has been central to empowering
data-driven decision making at SB. We have invested heavily in our
data pipeline, data engineering and our business intelligence
capabilities.
- In 2023 and beyond, we will continue investing a significant
amount of effort in ramping up our Business Intelligence
capabilities to drive business decisions.
- The primary duty of this role will be to provide analytical
support for our business stakeholders. This includes leading the
measurement and evaluation of our product value streams and
ensuring that we continuously improve the effectiveness of our
product investments.In this role, you will:
- Create data models in our Snowflake data warehouse.
- Integrate new sources of data to enrich our analytical
capabilities.
- Work with the engineering and product teams to ensure
application design accommodates reporting and analytics
requirements.
- Work with various business and engineering teams to ensure
reliable, scalable, robust architecture for our analytics platform
and ETL pipelines.
- Partner with stakeholders to identify business use cases and
translate them into the right analytical problem that you will
build, test and productionize.
- Particular focus will be on use cases that will help us drive
operational efficiencies as the organization scales.
- Increase the organization's ability to convert more
customers.
- Clearly communicate data-driven insights and recommendations to
non-technical audiences.
- Contribute to longer term strategic DNA projects.What are we
looking for:
- At least 3 years of overall experience in data & analytics,
operational analytics experience is desired.
- Degree with analytics or software engineering experience or
equivalent work experience.
- Experience with cloud data warehouses such as Snowflake or
similar.
- Experience designing and creating SQL data models using dbt
(dbt Certification a plus).
- Strong communication and data presentation skills through the
use of effective data visualisation and BI tools, e.g. Looker,
Tableau, Power BI, etc.
- Effective at building strong, influential relationships with
colleagues and partners, with demonstrated success in delivering
impactful insights to executives.
- Self-starter who is comfortable working in a globally
distributed team environment.
- Experience in Python or another programming language (e.g.
Kotlin, Scala, Ruby) is welcomed.What are the benefits?Here are
some of the great benefits and perks that come from being a Simply
Business employee:
- Group plan for medical, dental, vision, and prescription drug
coverage.
- Short term disability, long term disability, and life insurance
coverage.
- Participation in the Company's bonus program.
- Participation in 401(k) plan with a 5% employer match.
- Commuter benefits to help cut down on parking and public
transit costs.
- 25 days of vacation time plus 10 sick days and 10 company
holidays.
- A genuine investment in your learning and development.
- Regular team outings, and volunteer opportunities.
- An awesome office space.
- A hybrid working model, giving our employees great choice and
flexibility to work in a way that's best for their particular job,
their teams, and their lives.Simply Business is an equal
opportunity employer. We're committed to welcoming and helping
employees grow within an inclusive & diverse culture.
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Keywords: Simply Business, Newton , Analytics Engineer, Engineering , Boston, Massachusetts
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