AlphaSense is looking to accelerate growth and drive data-driven decisions on their way toward a successful IPO by building data models, reporting, and dashboards, and delivering deep insights.
Requirements
- 8+ years of experience in data analytics, which may include formal education.
- 3+ years of demonstrated experience developing and validating SQL queries to support analyses, reporting, and dashboards, with the ability to derive insights and craft strategies or narratives from large and complex data sets.
- 2+ years of applied experience in data visualization software such as Tableau, Looker, PowerBl, or another data visualization tool, with demonstrated proficiency creating compelling narratives and presentations that convey complex data insights to a non-technical audience (i.e., storytelling with data).
- Experience collaborating closely with data engineering teams, ensuring seamless data integration, pipeline development, and maintaining data quality for analytical purposes.
- Experience collaborating deeply across an organization to understand department process, needs, and goals, and building custom analysis/reporting to match.
- Knowledge of version control systems, such as GitHub, for managing and collaborating on data projects.
- Experience with Python for programmatic data analysis.
Responsibilities
- Analyze business performance and develop metrics, reports, and dashboards that inform our business strategy and drive action.
- Exercise your creativity by finding hidden patterns in our data and relaying those discoveries to stakeholders with stunning dashboards.
- Conduct data deep-diving to understand the underlying drivers of key trends and outcomes.
- Collaborate closely with cross-functional teams across AlphaSense to understand their analytical needs and deliver data-driven insights and recommendations.
- Assess needs and resources to build deliverables that address the needs of a variety of analytics personas.
- Support the “single source of truth” for the organization through creating and maintaining data models for use by other teams and by identifying and correcting data gaps, inconsistencies, etc.
- Conduct open-ended exploratory data analysis to uncover actionable insights, validate hypotheses, and significantly guide the prioritization of business initiatives.
Other
- If you excel at anticipating and keenly understanding the needs of your stakeholders, delivering tailored, impactful solutions, transforming complex data into meaningful insights, and have strong expertise in SQL and data visualization, we'd love to talk to you!
- This role is ideal for someone who thrives in environments that require critical thinking and proactive problem-solving, enjoys collaborating across teams, has a knack for simplifying complex concepts, and is eager to take ownership in driving impactful data-driven decisions within a dynamic and evolving business landscape.
- Capable of seamlessly switching “altitude” between specific technical questions and broad org-level KPIs/strategies.
- Possesses a growth mindset, with the passion to be challenged, learn from setbacks, and apply those lessons to drive business impact.
- Provide peer review and mentorship of colleagues and their work to maintain a high standard of quality, accuracy, and knowledge across the team.
