Junior Sales Enablement Analyst

Fujifilm•Santa Ana, CA

About The Position

The Junior Sales Enablement Analyst provides analytical and operational support to the Sales Enablement team by gathering market intelligence, analyzing data, creating and maintaining dashboards, and supporting cross-functional Sales Enablement activities. The role supports data-driven decisions through accurate reporting, data quality and integrity, and timely recurring analytical work. The analyst supports commercial planning, budgeting, forecasting, sales performance and territory analysis, product and customer analytics, and account-management targeting. The role also assists with molecule tracking and mapping, reporting and dashboard development, process documentation, testing analytical tools, and automation initiatives. The analyst works with Commercial, Sales, Marketing, Finance, and IT teams and communicates findings to business stakeholders. FUJIFILM Biosciences develops products and services for life sciences, including cell culture media, discovery research reagents, recombinant growth factors and proteins, fine chemicals, and assay materials. The company describes a culture of curiosity, collaboration, and innovation. Its headquarters are in Santa Ana, California, with additional campuses across the US, Europe, China, and Japan.

Requirements

Bachelor’s degree in Business Analytics, Business Administration, Data Analytics, Statistics, Mathematics, Computer Science, Finance, or a related field.
0–3 years of experience in business analysis, reporting, finance, sales operations, or analytics.
Intermediate Microsoft Excel skills, including PivotTables, XLOOKUP/VLOOKUPS, and formulas.
Basic Power BI knowledge.
Strong analytical and problem-solving skills.
Strong attention to detail.
Ability to organize and prioritize multiple tasks.
Excellent verbal and written communication skills.
Fluency in English to interact with stakeholders.

Nice To Haves

Internship or co-op experience.
Experience in Life Sciences or Commercial Analytics.
Basic understanding of SQL.
Experience with Power BI or Tableau.
Basic knowledge of DAX and Power Query.
Familiarity with Salesforce.com, SAP, or CRM systems.
Experience working with sales or commercial reporting.
Exposure to Snowflake or cloud-based data platforms.
Experience with Python or R.

Responsibilities

Support the Sales Strategy Manager in gathering market intelligence.
Assess opportunities to increase market penetration and prioritize market segments.
Assist with commercial analytics and use of commercial tools to improve customer engagement.
Assist with molecule capture, tracking, and mapping; monitor related data quality and identify missing, incomplete, or inaccurate information.
Support Sales in maintaining accurate and reliable commercial data; perform data cleanup and assist with master data validation.
Collect, clean, validate, and organize data from multiple sources; conduct basic analysis to identify trends and deliver business insights.
Validate data accuracy and investigate reporting discrepancies.
Assist in developing, maintaining, and enhancing Power BI dashboards and reports based on business requirements.
Prepare recurring monthly, quarterly, and annual sales, forecasting, and performance reports; update dashboards with new data and validate report accuracy.
Assist users with report questions and troubleshooting.
Support commercial planning, budgeting, and forecasting; perform sales performance and territory analysis and support product and customer analytics.
Develop tiered sales targeting lists for account-management go-to-market activities.
Document reporting procedures and business processes, maintain recording documentation and user guides, and identify opportunities to improve reporting and analytical processes.
Support testing of new reports and analytical tools.
Work with Commercial, Sales, Marketing, Finance, and IT teams; respond to ad hoc reporting requests, participate in project meetings, and provide analytical support.
Communicate analytical findings clearly to business stakeholders.
Develop knowledge of Power BI, Power Query, DAX, and analytical best practices; assist with automation initiatives to reduce manual reporting and continue developing analytical and technical skills.