Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Airflow
ClickHouse
Data Engineering @ 8
Data Modeling @ 7
Data Pipelines @ 4
Leadership @ 6
Looker
Marketing @ 4
SQL @ 4
dbt
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Saily is looking for a Head of Data to take ownership of the entire data vertical, including data ingestion, modeling, pipelines, analytics, and how teams use data to make decisions. This is a hands-on leadership role managing a team of Data Analysts while owning the technical direction and architecture behind Saily’s data function.
Responsibilities
- Own the Data function across analytics, modeling, and data pipelines.
- Lead the Data Analytics team by setting priorities, direction, and operational standards.
- Own Saily’s data architecture end to end, from raw data and pipelines to analytical models and business insights.
- Define data models and structures, including schemas, semantic layers, metrics, entities, and relationships.
- Make data understandable and usable for people and AI.
- Own and evolve analytics infrastructure and tooling.
- Work with Product, Engineering, Marketing, and other teams to understand their needs and develop a clear data strategy.
- Act as the main point of contact for data across Saily.
- Establish standards for data quality, documentation, governance, and reliability.
- Build and shape the Data team as Saily grows.
Requirements
- 10+ years of experience across Analytics Engineering, Data Engineering, Data Analytics, or similar data-focused roles.
- 4+ years of experience in a leadership role.
- Strong hands-on experience with data modeling and schema design, including dimensional modeling, semantic layers, metrics, entities, and relationships.
- Solid understanding of data pipelines and modern data architecture.
- Excellent SQL skills and experience with modern analytical data stacks.
- Experience owning a data or analytics function, architecture, or a major part of one.
- Experience leading Data Analysts or Analytics Engineers, setting priorities, and developing the team.
- Strong stakeholder management skills and confidence working with Product, Engineering, Marketing, and business leadership.
- Strong product and business thinking, with an understanding of how data should influence decisions.
- An entrepreneurial mindset and the ability to build from scratch, make decisions with incomplete information, and take ownership beyond an immediate area.
Tools and Technologies
- Coding Agents
- SQL
- dbt
- BigQuery
- ClickHouse
- Looker
- Airflow
- Internal analytics tooling
Benefits
- Online and in-person training, access to Coursera and Skillshare, mentorship, and internal career opportunities.
- Extra vacation days, sick leave, special-occasion leave, and parenting leave.
- Premium private health insurance available in Lithuania and Poland.
- Calm, Headspace, and Mindletic subscriptions, resilience and mindfulness training, and mental health events.
- In-house gyms, Multisport and Urban Sport cards, online workouts, and physical well-being support.
- Company workations abroad.
- The ability to work from anywhere.
- Gifts for birthdays, work anniversaries, weddings, and new family members.
- Summer camps for children and flexible working arrangements for parents.
- Team-building activities and company events.
- Access to the Vilnius headquarters and its workspace facilities.
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