
Senior Business Intelligence Developer
1 week ago
Job Overview
\The Lead Data Analyst will play a key role in driving data-informed decision making across the organization. This individual will lead and advocate for data understanding, partner with various teams to democratize data, and develop business intelligence dashboarding solutions.
\Key Responsibilities:
\- Lead and advocate for data understanding across the organization, partnering with various teams to gather business requirements and educate teams on self-service best practices.\
- Champion statistical analysis, identifying significance and incrementality of strategic initiatives across Product and Marketing.\
- Develop business intelligence dashboarding solutions and delivery, proactively identifying business opportunities and collaborating with teams across the organization.\
- Develop LookML models and uplift analytical platforms, practicing and supporting the data team in ensuring optimal code standards and modelling techniques are enforced.\
- Help develop data governance practices, inclusive of mapping upstream to downstream services, uplifting monitorability of data quality, and ensuring a sustainable business intelligence solution.\
- Own the data platform, partnering with Engineering teams to scope data requirements and support data delivery, including the development of event-based data.\
- Develop a strong understanding of data needs, planning, and advocating to embed data into the business to support scaling and growing the data team.
Qualifications and/or Experience Required:
\- A minimum of 5+ years of experience in data analytics, preferably in a senior or lead capacity at a tech company.\
- Expertise in business intelligence tooling (e.g., Looker), CDP tools (e.g., Segment/Amplitude), data warehousing (Redshift/Snowflake), and familiarity with Modelling and Orchestration.\
- Excellent presentation skills, ability to distil information to the right level of detail, and communicate complex concepts to non-technical stakeholders.\
- Strong critical thinking, technical, and analytical skills, with the ability to take complex data sets and draw meaningful insights.\
- Ability to work independently and collaboratively with team members, balancing multiple priorities in a fast-paced environment.
Behavioural Competencies:
\- Excellent listening and questioning skills.\
- Exceptional critical thinking, technical, and analytical skills.\
- Able to prioritize multiple competing demands in a dynamic environment.\
- Excellent time management.\
- Strong communicator and collaborator.
Measures of Success:
\- Leads the organization through fundamental changes in data literacy.\
- Consistently seen as a leader within the business, relied upon for clear, specific, and actionable insights.\
- Demonstrates mastery in SQL, Hevo, and Looker to deliver proactive and reactive requests within an agreed-upon timeframe.
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