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Locala

Analytics & Insights Manager

Locala

. Serve as the analytics partner for the CS Enablement team by delivering actionable insights that improve business decisions .

Posted 10/27/2026full-timeMiami • Florida • United StatesJunior💰 $80,000 - $90,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, dashboard creation, and reporting processes, leveraging tools such as Power BI and SQL to deliver actionable insights. Capable of translating complex data into clear recommendations for business decisions and improving analytics capabilities across teams.

Highest-signal resume keywords
Data AnalysisDashboard DevelopmentSQL ProficiencyAdvanced Excel SkillsBusiness Intelligence Tools

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisSQLAdvanced ExcelDashboard CreationData ValidationReporting AutomationETL ProcessesData Pipeline ConceptsStatistical AnalysisData Cleaning
Soft Skills
Analytical Problem-SolvingCommunication SkillsCollaborationAdaptabilityAttention to Detail
Tools & Technologies
Power BITableauLookerSnowflakeBigQueryRedshiftDatabricksGoogle SheetsMicrosoft ExcelAPIs
Industry Keywords
Business AnalyticsSales AnalyticsRevenue OperationsKPI DevelopmentData IntegrationCampaign AnalysisProduct AdoptionCustomer PerformanceReporting ProcessesAnalytics Capabilities

Tech Stack

Tools & technologies
Amazon RedshiftBigQueryCloudETLPythonSnowflakeSQLTableau

About the role

Key responsibilities & impact
  • Serve as the analytics partner for the CS Enablement team by delivering actionable insights that improve business decisions
  • Respond to ad hoc business and data requests from the sales team
  • Analyze campaign, product adoption, and customer performance data
  • Build presentations and executive-ready reports that communicate insights clearly
  • Partner with Data Science and Analytics teams to access and interpret datasets
  • Develop best practices for data requests and analytical workflows
  • Translate business questions into data-driven recommendations
  • Identify trends, opportunities, and risks using internal and external datasets
  • Own the development and continuous improvement of reporting processes and dashboards
  • Execute recurring and complex reports
  • Build dashboards that monitor key metrics and KPIs
  • Improve reporting accuracy and reduce manual effort
  • Learn and leverage company reporting tools and BI platforms
  • Standardize recurring reports across campaigns
  • Document reporting processes and methodologies
  • Recommend automation opportunities to improve efficiency
  • Evaluate existing workflows and identify opportunities for improvement
  • Establish KPIs for training effectiveness, product adoption, and seller performance
  • Partner with Product, Sales Operations, Marketing, and Customer Success
  • Help scale analytics capabilities as the organization grows
  • Report to the VP of Sales Enablement

Requirements

What you’ll need
  • Bachelor's degree in Business Analytics, Data Analytics, Statistics, Computer Science, Economics, or related field
  • 1-2 years of experience in analytics, business intelligence, sales analytics, or revenue operations
  • Strong analytical and problem-solving skills
  • Advanced Excel or Google Sheets
  • Experience building dashboards in Power BI, Tableau, Looker, or similar platforms
  • Ability to communicate technical findings to non-technical audiences
  • Experience working with large datasets
  • Advanced Microsoft Excel, including Pivot Tables, Power Query, advanced formulas, and data analysis
  • Strong SQL skills for querying and analyzing large datasets
  • Experience with cloud-based data warehouses such as Snowflake, BigQuery, Redshift, or Databricks
  • Ability to analyze, clean, and validate large datasets from multiple sources
  • Experience creating dashboards, recurring reports, and executive-level reporting
  • Preferred Python for data analysis and reporting automation
  • Experience writing scripts to automate recurring reporting and analytical workflows
  • Experience working with APIs and data integrations
  • Knowledge of ETL processes and data pipeline concepts

Benefits

Comp & perks
  • Medical, Dental & Vision Insurance - 100% paid for the employee-only, 80% for dependents
  • 401k with Company Match
  • Paid Parental Leave
  • Paid Vacation, Sick Time & Holidays
  • Remote-first work environment
  • Training & development
  • Up to a 10k bonus