BI Analyst

As a Business Intelligence Analyst at Influur, your primary responsibilities include streamlining product workflows, generating and designing actionable analytics, and analyzing data from various sources to extract meaningful insights. You'll collaborate closely with different departments to understand their data needs, optimize processes, and utilize statistical tools to evaluate KPIs and performance, all of which support strategic decision-making.

Candidates interested in the BI Analyst position at Influur should ideally have over three years of experience with data analysis tools, along with a background in fields such as Engineering, Data Science, or Business Intelligence. Strong knowledge of SQL and familiarity with GCP or AWS tools, plus visualization tools such as Looker or Metabase, are key qualifications for this role.

The Business Intelligence Analyst at Influur plays a vital role in facilitating strategic decision-making by analyzing complex data from multiple sources, identifying patterns, and providing insights that inform business strategies. By collaborating with sales, product, and tech teams, you ensure that decisions are supported by solid data analysis and actionable recommendations.

For the BI Analyst role at Influur, preferred technical skills include proficiency in SQL, experience with GCP or AWS tools, and knowledge of visualization tools such as Looker or Metabase. Familiarity with Python and task management tools like Notion or Jira can also enhance your ability to thrive in this position.

The Business Intelligence Analyst role at Influur is unique because it allows you to contribute to a startup culture that emphasizes innovation, collaboration, and growth. You'll have the opportunity to work in a fully remote environment, engage with diverse teams, and be a key player in shaping the future of influencer marketing while enjoying real stock options that align your success with the company's growth.

In discussing your experience, highlight your familiarity with various data analysis tools you've used in the past, such as SQL for querying databases and visualization platforms like Looker or Metabase for producing insightful reports. Mention specific projects where you analyzed data to inform business strategies and the impact of your work.

You can explain your approach by illustrating how you've identified inefficiencies in existing processes and implemented automated solutions. Discuss any tools or techniques you’ve used to simplify workflows and how those changes improved data accessibility and reporting efficiency for different stakeholders.

Talk about your experience identifying KPIs relevant to business and marketing performance. Provide examples from past roles where you tracked and interpreted KPIs, such as conversion rates or customer acquisition metrics, and how your analysis influenced strategic decisions.

Share a specific example of a challenging project where you had to analyze complex data sets, illustrate your analytical thought process, the tools you used, and what the outcome was. Connect your work to the insights you provided and how they supported decision-making within the organization.

Explain your strategies for maintaining data quality, such as creating validation checks, collaborating with stakeholders for accurate data input, and regularly reviewing data sets for inconsistencies. Emphasizing your proactive measures can highlight your commitment to delivering high-quality reports.

Discuss how you approach collaboration with non-technical teams by breaking down data insights into easy-to-understand terms, using visualization tools to illustrate points, and actively listening to their needs to align your analytics work with their goals.

Share specific statistical tools and software you're skilled in, like Python libraries (Pandas, NumPy) or R for analysis, and provide examples of projects where you employed these tools to extract insights, conduct A/B testing, or forecast trends.

Discuss how you assess the urgency and impact of each request, possibly using a framework to prioritize projects based on their potential benefit to the business. Communicating openly with stakeholders about timelines and expectations can also be effective.

Talk about the types of dashboards and reports you've created in previous roles, focusing on the tools you used for visualization and how these resources helped stakeholders gain valuable insights for their respective functions.

Highlight your enthusiasm for working with data in a startup environment like Influur, where innovation, collaboration, and growth are valued. Connect your interests and skills to Influur's mission of enhancing the influencer marketing landscape, illustrating why this role aligns with your career aspirations.