Salve Logo

Salve

Analytics Engineer

Reposted 2 Days Ago
Remote
Hiring Remotely in USA
100K-130K Annually
Mid level
Remote
Hiring Remotely in USA
100K-130K Annually
Mid level
The Analytics Engineer will manage BI modeling, create dashboards, ensure data quality, and collaborate with customers and teams for reporting needs.
The summary above was generated by AI

Salve is seeking a Data/Analytics Engineer to own the BI modeling layer and dashboards for our regulated-industry analytics product (with a focus on cannabis). You’ll translate business questions into performant SQL, design and maintain semantic/data models, and build polished dashboards and self-serve reports in our BI platform. You’ll partner closely with customers and internal teams to customize reporting, ensure data quality and governance, and turn complex datasets into clear, actionable insights. Additionally, you will work closely with the data engineering team to ensure data ingestion, modeling and reporting quality.

Responsibilities

  • Build and maintain the semantic layer/metrics: define KPI logic and reusable models that power dashboards and self-serve reporting.
  • Test and improve data modeling for generative AI.
  • Translate business questions into performant SQL and polished dashboards in our BI tool; ship clean, drill-friendly reports.
  • Work directly with customers to customize reporting and data workflows.
  • Optimize warehouse and query performance for fast, cost-effective analytics.
  • Help implement and monitor ETL/ELT to land and transform data from databases, files, and APIs (e.g., Hevo, Airbyte, Glue).
  • Manage schema changes and migrations with version control and backward-compatible rollouts.
  • Develop and deploy forecasting models (e.g., regression, time-series) to power forecasting reports and alerts.
  • Triage and resolve reporting issues and pipeline incidents; drive root-cause analysis and prevention.
  • Work with customer success and onboarding to manage and document customer implementations onto the platform.

Required Skills & Experience

  • Strong proficiency in SQL.
  • Hands-on experience with relational databases and data warehouses, especially Snowflake, MySQL and Postgres.
  • Understanding of data modeling principles (star/snowflake schema, normalization/denormalization).
  • Experience building ETL/ELT and data processing pipelines using tools such as dbt, Hevo, Airbyte, Glue, or Spark.
  • Experience with data visualization tools such as Omni, Metabase, PowerBI, Looker, Mode, etc.
  • Excel-capable.
  • Strong troubleshooting skills.

Preferred Skills

  • Experience with Python.
  • Familiarity with data orchestration tools such as Airflow or Dagster.
  • Experience using generative AI models, especially using Snowflake Cortex.
  • Knowledge of AI, machine learning and MLOps, especially for forecasting and classification.
  • Experience with building and maintaining web scrapers.
  • Familiarity with PHP and Laravel.
  • MUST reside between UTC-4 (EST) & UTC-7 (PST) Time Zones

Desired Skills

  • Strong communication skills with the ability to explain technical concepts clearly
  • Comfortable leading client calls and presenting data findings
  • Proactive, responsive, and focused on delivering a great customer experience
  • Collaborative team player who works well across technical and non-technical teams
  • Organized and adaptable, able to manage multiple client engagements and troubleshoot on the fly

Salve Team Fit

At Salve, we believe small teams can make a big impact.

Our work is driven by a passion for innovation, a commitment to excellence, and a strong collaborative spirit. Every voice matters here — we show up each day ready to collaborate, tackle challenges, and grow together while we do meaningful work that improves lives. At Salve, we strive for the right balance — it’s not a place to fade into the background or to dominate the conversation. We value individuals who lead with humility, prioritize the team, and contribute to shaping our vibrant and supportive culture.

We’re looking for someone who shares our values and thrives in a fast-paced, evolving environment. Our ideal teammate is:

  • An excellent communicator who brings clarity and empathy to every interaction.
  • A hard-working self-starter who loves tackling new challenges and isn’t afraid to jump in.
  • Resilient and adaptable in a fast-moving landscape.
  • A problem-solver at heart, turning obstacles into opportunities.
  • Known for a positive attitude, bringing energy and optimism to their team.
  • A true team player who supports, inspires, and celebrates the success of those around them.

If you believe that small teams can do big things — and you want to grow alongside a driven, supportive crew — we’d love to hear from you.

Top Skills

Airbyte
Airflow
Dagster
Dbt
Glue
Hevo
Laravel
Looker
Metabase
Mode
MySQL
Omni
PHP
Postgres
Power BI
Python
Snowflake
Spark
SQL

Similar Jobs

6 Days Ago
Remote
United States
Senior level
Senior level
Healthtech • Other • Social Impact • Software • Telehealth
The Staff Analytics Engineer will design data models and reporting assets, collaborating cross-functionally to deliver impactful analytics solutions and improvements in data processes.
Top Skills: DbtGitHexLookerRedshiftSQL
8 Days Ago
Remote
United States
135K-159K Annually
Mid level
135K-159K Annually
Mid level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The CX Analytics Engineer will enhance customer compliance operations through data analysis, collaboration, and development of metrics and tools to improve customer experience.
Top Skills: AWSLookerPythonQuicksightSQLTableau
Yesterday
Remote
5 Locations
74K-133K Annually
Mid level
74K-133K Annually
Mid level
Healthtech
The Analytics Engineer II converts analytical business requirements into technical solutions, focusing on data modeling, code development, and bug remediation for optimal data analytics.
Top Skills: GitMedallion ArchitecturePythonRdbmsSdlcSnowflakeSQL

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account