- Building data models with dbt to be used by Analysts on business reports and analyses.
- Coordinate with the Salesforce team and the Data Engineering team to enhance business-ready datasets.
- Collaborate with stakeholders to understand business requirements and develop data visualizations
- Drive adoption of well-governed data models among business analysts
- Maintain high data quality in the data models
- 4+ years of experience in SQL (Redshift /Postgres preferred)
- 2+ years of experience designing and building data models in dbt
- Experience defining data quality tests and writing documentation in dbt
- 2+ years ofexperience with managing data visualization tools Thoughtspot, Looker, Tableau, etc.)
- 1+ yearin working in a Agile Team
- Interest in deeply understanding the data and business requirements.
- Experience with balancing team roadmaps and inbound requests.
- Excellent spoken and written English skills.
- You are humble, curious, proactive, and strike a balance between creativity, resourcefulness, and pragmatism.
- Familiarity with data catalogs Atlan, Alation, etc.)
- Familiarity with orchestration workflows like Airflow
- Familiarity with Reverse ETL tools like Census
- dbt Analytics Engineering Certification
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Senior Analytics Engineer - London, United Kingdom - Algolia
Description
At Algolia, we are passionate about helping developers & product teams connect their users with what matters most in milliseconds
OUR TEAM
We're on a mission to make Algolia a data-driven organization, and we're looking for a Senior Analytics Engineer to join our Data & Analytics Engineering team and help us get there.
The Data & Analytics Engineeringteam empowers Algolia by transforming raw data into trustworthy, well-governed data so that our stakeholders can make better data-driven decisions, using a suite of best-in-class data tools in the modern data stack (ThoughtSpot, Hex, dbt, Atlan).
This team has a significant impact as we work closely with business analysts on our Sales Analytics, Marketing Analytics, Growth, Product and Infrastructure teams to help them learn about our customers, and find impactful ways to improve Algolia's products and grow the business.
Our data team is composed of a Data Engineering team (building pipelines and scaling the Lake & Warehouse), and an Analytics Engineering team (building standardised data models and supporting company metrics and BI tools).
With Algolia's rapid growth, there will be many data-related challenges that will need to be tackledAre you ready for the challenge?
YOUR ROLE WILL CONSIST OF:
As a Senior Analytics Engineer, you will build the foundational data models that power Algolia's BI tool (ThoughtSpot)and the data exploration tool (Hex). You will drive adoption of the data models through engaging demos and thoughtful documentation. By discovering innovative ways to automate our data processes, you will also make teams at Algolia more efficient and effective.
KEY RESPONSIBILITIES
YOU MIGHT BE A FIT IF YOU HAVE MOST OR ALL OF THESE EXPERIENCES:
NICE TO HAVE:
WE'RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES:
GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment.
TRUST - Willingness to trust our co-workers and to take ownership.
CANDOR - Ability to receive and give constructive feedback.
CARE - Genuine care about other team members, our clients and the decisions we make in the company.
HUMILITY - Aptitude for learning from others, putting ego aside.
#LI-Remote
REMOTE STRATEGY:
Algolia's flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual's impact, contribution, and output, over their physical location. Algolia is a high-trust environment and our team members have the autonomy to choose where they want to work and when. We know community comes in many forms and strive to create opportunities for intentional in-person connection in our offices and virtually for our remote colleagues around the world.
We have a global presence with physical offices in San Francisco, NYC, Paris, London, Sydney and Bucharest.