Sr. Analyst, Business Intelligence & Analytics

garten

• $110K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Information Systems, Computer Science, Data Science, Math, Engineering, or similar quantitative field.
  • 4-6 years of experience in analytics or business intelligence roles.
  • Proven leadership experience managing a small team of analysts.
  • Strong communication skills for effective storytelling through data and reports.
  • Excellent analytical and problem-solving skills with attention to detail.
  • Proficiency in business intelligence tools like Looker, Tableau, or Sisense.
  • Skilled in writing efficient SQL queries; familiarity with Python is a plus.
  • Experience with data warehouse platforms like BigQuery, Snowflake, or RedShift is a plus.

Responsibilities

  • Lead efforts to provide business performance insights for decision making.
  • Design and build a robust data warehouse/data lake and BI platform.
  • Extract, transform, and analyze data from diverse sources for business insights.
  • Collaborate with stakeholders to understand data needs and build analytical solutions.
  • Apply statistical and predictive modeling techniques to identify trends.
  • Prioritize and execute multiple projects based on business impact.
  • Mentor junior analysts within the team.

Benefits

  • Collaborative work environment across diverse business units.
  • Opportunity to shape data-driven culture within the organization.
  • Mentorship and leadership opportunities for career growth.
  • Chance to work with modern BI tools and data platforms.
  • Exposure to a fast-paced, startup-like atmosphere that fosters innovation.
Full Job Description
Description

Sr. Analyst, Business Intelligence & Analytics

Reporting to the Director of Business Intelligence & Analytics, the Sr. Analyst, Business Intelligence & Analytics will assist with design and implementation of Data/BI/Analytics platform with the goal of enabling data-driven culture across the organization. This role will work closely with all business units (Sales, Finance, Business and Technology Operations, Supply Chain, Culinary, Product, Engineering, IT, Legal, etc), identify problems and opportunities, and provide analytical solutions that help achieve business goals and improve operational efficiency.

Job Duties / Responsibilities
  • Lead efforts in providing business performance insights to enable data-driven decision making and drive business results.
  • Participate in designing and building robust data warehouse/data lake and business intelligence platform
  • Utilize various tools to extract, transform and analyze data from a variety of data sources to help answer business questions, identify potential opportunities.
  • Collaborate with business stakeholders to understand business goals, reporting/data needs and build scalable analytical solutions.
  • Apply statistical analysis, quantitative analysis and predictive modeling techniques to identify trends and patterns.
  • Ability to quickly prioritize and execute multiple competing projects based on business case and expected impact.
  • Mentor other analysts in the team.


Skills / Qualifications
  • Bachelor's degree in Information Systems, Computer Science, Data Science, Math, Engineering or similar quantitative field.
  • 4 - 6 years of experience in analytics, business intelligence, or similar roles.
  • Experience in leading a small team of analysts.
  • Excellent verbal and written communication skills with an ability to express ideas and effective story-telling through data, reports and dashboards.
  • Strong analytical and problem solving skills with high attention to detail and accuracy.
  • Proficient with Looker, Tableau, Sisense or similar business intelligence and analytics tools.
  • Write efficient SQL queries against large, complex data sets. Experience with scripting languages like Python is a plus.
  • Experience with modern data warehouse platforms such as BigQuery, Snowflake, RedShift is a plus.
  • Experience working in a startup environment is a plus.

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