Lead Business Intelligence Analyst

Responsibilities

• Produce financial and market intelligence by querying data repositories and generating periodic reports. Devise methods for identifying data patterns and trends in available information sources

• Work collaboratively and cross functionally to define and meet stakeholder requirements

• Translate business objectives into technical data requirements and balance them with technical feasibility, recommending changes in development, maintenance and platform standards as necessary

• Perform deep dive analyses to understand trends, anomalies and insights that will drive operational improvements

• Craft data stories through presentations, written summaries, and data visualizations that accurately outline problem statements and provide actionable and unbiased intelligence and recommendations

• Communicate findings from initiatives with clarity and accountability to the broader organization/stakeholders

• Clearly document provenance of data, ETL logic, and code used to develop models

• Proactively identify areas in which analytics efforts can answer business questions, drive operational improvements and business value

• Spearhead the development of insight-driven tools & dashboards and provide ongoing support regarding functionality and data-integrity

• Some telecommuting is permitted

Minimum Qualifications

• Degree in Business Analytics, Data Analytics /Engineering, Information Systems or related field and three (3) years of experience in the job offered or in a business analyst-related occupation

• Some telecommuting is permitted

Special Requirements

Position requires at least two (2) years of experience in each of the following skills: 

• Utilize knowledge of Alteryx to automate data workflows, perform ETL processes, enabling efficient data preparation, transformation, and visualization for actionable insights

• Developed and optimized Power BI dashboards, performed validation testing, and implemented continuous improvements post-launch by collaborating with global teams to align with stakeholder requirements

• Utilize knowledge of Microsoft Excel to analyze trends, build reports, and transform raw data into actionable insights for data-driven solutions 

• Utilize knowledge of team leadership and mentorship to guide associates, enhance their analytical skills, and improve project execution

Position requires at least one semester of graduate-level coursework or some experience in each of the following skills: 

• Utilize knowledge of Snowflake/Presto databases and querying tools such as Oracle to write and optimize queries relevant to answer business questions and deep dive analyses

• Utilize knowledge of Agile methodologies, Jira administration, and project management to drive enterprise Agile transformations, enhance project efficiency, and support technology migration efforts through auditing and seamless execution

• Maintained critical data models, datasets, and dashboards across the operational reporting ecosystem while streamlining processes to identify opportunities for standardization and simplification, shaping the Business Intelligence roadmap 

• Utilize knowledge of data visualization and storytelling to craft data-driven narratives through presentations, demonstrations, and design reports

• Utilize knowledge of Python to clean and preprocess data, while leveraging statistical techniques—including sampling distributions, hypothesis testing, linear regression, and logistic regression—to extract insights, perform in-depth analyses, and deliver data-driven recommendations