Business Intelligence and Data Analytics Manager
United States (remote)
Full Time Senior-level / Expert USD 108K - 200K
Clickhouse
ClickHouse is a fast open-source column-oriented database management system that allows generating analytical data reports in real-time using SQL queriesAbout ClickHouse
We are the company behind the popular open-source, high performance columnar OLAP database management system for real-time analytics. ClickHouse works 100-1000x faster than traditional approaches. By offering a true column-based DBMS, it allows for systems to generate reports from petabytes of raw data with sub-second latencies. With an amazing community already adopting our open-source technology, we are now embracing our journey in delivering Cloud first solutions to delight our customers.
With top adopters such as Lyft, Cisco, and eBay - not only do our products work at lightning speed, so do we.
We are an open and collaborative company. Our colleagues are curious, engaged and excited about what they do. If you want to work in an environment where you can learn, grow, be an agent of change and have your voice heard - then please read on!
ClickHouse is actively seeking an experienced Business Intelligence / Data Analytics Lead to own master data management and reporting across our Operations’ and Go To Market teams, focusing on sales and support datasets. In this critical role, you will become an integral part of our organization, collaborating with the GTM teams (Sales, Partner, Support) and corresponding operations teams, along with our internal Product Analytics Data Warehouse (DWH) Team to help us scale in our next phase of growth. This is a hybrid role that will own the data pipelines for key operational teams and also generate the reporting and analytics. Our centralized DWH team will support you in the former, but you will own the work streams associated with the teams you support from beginning to end.
What you will do:
- Design, develop, and maintain end to end data warehouse on behalf of the Operations’ team
- Manage related data molding work and optimize Extract, Transform, and Load (ETL) processes
- Some data engineering work needed to connect current data sources into the ClickHouse DWH
- Own Master Data Management across the Operations’ function, including data dictionary creation and management
- Ensure data quality, consistency, and accessibility
- Develop reusable reports and dashboards that become the “sources of truth” for respective functions, like Support, Sales, Partners
- Design and maintain the “all company” metrics’ dashboards
- Partner with central DWH team to ensure that Ops adheres to best practices, naming conventions
- Partner with central DWH team to extend AI functionality across Operations’ metrics (i.e. the DWAINE, Data Warehouse AI Natural Expert, project)
- Partner with Finance and Operations team members to ensure alignment on data definitions
- Develop and implement a set of audit reports across operational processes to validate the accuracy and efficiency of automations and integrations. This includes creating data snapshots to preserve audit history and historical reporting
- Perform ad hoc analyses as needed and create clear and concise visualizations to communicate findings
- Implement Tableau or related BI tool to ensure ease of use
- Lead enablement sessions to drive self service across stakeholder teams
- Potential expansion to support other teams, e.g., HR, Marketing, Finance
- Partner with Security team to ensure proper protocols are maintained to safeguard our data
What you bring:
- 7+ years of experience with SQL and data analysis
- 2+ at a fast-paced technology company
- Strong expertise in writing complex SQL queries and creating optimized views
- Experience with Python and R preferred
- Experience with business intelligence tools (e.g., Power BI, Tableau, Superset)
- Familiarity with Extract, Transform, and Load (ETL) processes
- Proven track record of translating business requirements into technical solutions
- Strong communication skills with ability to explain technical concepts to non-technical audiences
- Experience creating clear, impactful data visualizations
- Background in data modeling and database design
- Ability to manage multiple projects and priorities effectively
- DBT experience preferred
- ClickHouse experience is a plus
- Superset experience is a plus
Compensation
This role offers cash compensation and a stock options grant. For roles based in the United States, you can find above our typical starting salary ranges for this role, depending on your specific location.
The positioning of offers within a certain range depends on various factors, including: candidate experience, qualifications, skills, business requirements and geographical location.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
Perks
- Flexible work environment - ClickHouse is a distributed company offering remote-first work to all employees
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in all countries.
- A $500 Home office setup if you’re a remote employee.
- Employee-driven international mobility- we enable you to relocate internationally if you wish (within certain countries and timelines and subject to role requirements, time zones and work permit considerations)
Culture - We All Shape It
As part of our first 500 employees, you will be instrumental in shaping our culture.
We look for candidates who are:
- Motivated by doing great work as part of a team :)
- Open to learning from others and sharing with others
- Team Players: helpful, resourceful, responsive
- Respectful and see feedback as an opportunity to grow
Are you interested in finding out more about our culture? We are a one year old company therefore we are excited to be building it together at the moment. Our first 500 employees are the culture shapers of our future. Check out our blog posts or follow us on LinkedIn to find out more about what’s important to us, and to find out if you’d like to come and contribute to building our culture with us!
Please see here for our Privacy Statement.
Tags: Business Intelligence Data analysis Data Analytics Data management Data pipelines Data quality Data warehouse dbt Engineering ETL Finance OLAP Open Source Pipelines Power BI Privacy Python R Security SQL Superset Tableau
Perks/benefits: Career development Equity / stock options Flex vacation Home office stipend Startup environment
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