Director, Analytics – Decision Intelligence

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Everway

WebsiteLinkedInAll Job Openings

201 - 500 employees

📚 Education

☁️ SaaS

Education • Accessibility • SaaS

Everway is a technology company that specializes in creating innovative tools designed to enhance learning and accessibility in both educational and workplace settings. With a focus on understanding and empowering individuals with diverse learning needs, their products support literacy, math accessibility, and inclusive learning experiences. Formerly known as n2y and Texthelp, Everway aims to break down barriers and promote neuroinclusion, ensuring that everyone has the opportunity to thrive in their educational and professional environments.

📋 Description

• Map and prioritise the organisation's critical decisions across product, sales, finance, customer success, and leadership • Proactively surface risks, opportunities, and emerging trends through exploratory analysis, anomaly detection, and cross-domain pattern recognition • Lead the analytics function as a product team by setting vision, owning the roadmap, and establishing the operating model • Design and deliver gold-tier data products with ownership, versioning, documented contracts, SLAs, lifecycle management, and decision-outcome metrics • Architect and own the self-service analytics model with tiered access, governed exploration spaces, and certified Databricks-published datasets • Own semantic layer strategy and ensure consistent, governed, trustworthy KPI definitions • Partner with data engineering on data contracts and gold-layer design within the medallion architecture • Own the Tableau BI platform end-to-end, including certified content standards, performance optimisation, publishing governance, Unity Catalog integration, and access management • Lead adoption of AI-powered analytics, natural-language query interfaces, and LLM-assisted workflows within a governed framework • Drive data literacy and decision-readiness through enablement, documentation, and curated discovery experiences • Establish catalogue presence for analytics assets, including lineage, freshness, and ownership trust signals • Define and enforce analytics engineering standards for dashboard design, naming, version control, testing, and peer review • Measure analytics product impact using adoption metrics, stakeholder feedback, decision cycle time, and platform usage data • Mentor and develop analysts, building technical depth, product thinking, decision-framing skills, and ownership

🎯 Requirements

• 3+ years in business intelligence, analytics, or decision science, with at least 2 years leading a BI or analytics function in a senior capacity • Ability to work backwards from business decisions to scoped analytics products with defined users, data requirements, and success metrics • Track record of proactive insight discovery and translating risks, opportunities, or behavioural patterns into action • Expert-level proficiency in at least one enterprise BI platform such as Tableau, Power BI, Looker, or equivalent, including complex calculations, performance optimisation, governed content management, and platform administration • Strong SQL skills for writing, optimising, and reviewing complex queries against large datasets in Databricks, Snowflake, BigQuery, or equivalent • Experience delivering BI outputs as data products with ownership, documented contracts, versioning, SLAs, and lifecycle management • Proven experience designing and scaling self-service analytics, including tiered access, governed exploration, certified datasets, and enablement • Deep expertise in semantic layer design and metrics governance • Strong understanding of lakehouse and medallion architecture and data contracts between engineering and analytics • Experience within a governed data platform, including cataloguing, lineage, certified asset management, and trust signals • Excellent stakeholder management and communication across data engineering through C-suite audiences • Track record of building and leading high-performing analytics teams through hiring, mentoring, standards, and product thinking • Strong commercial acumen and understanding of SaaS metrics • Desirable: hands-on Databricks, Tableau, dbt, decision intelligence/science, AI-powered BI, LLMs or generative AI, SaaS metrics, data quality/observability tooling, Python, and agile product delivery

🏖️ Benefits

• Competitive salary with bonus opportunities • Flexible work schedules • Comprehensive health and wellness benefits • Flexible time off plans • Career growth through development programs • Collaborative, innovative culture • Drug-Free Workplace • Equal Opportunity Employer