Analytics Consultant

About the role

Performs analytics, reporting, dashboard development, and process automation on technology-driven data sets to support business decision making. Defines data requirements; collects, processes, cleans, analyzes, and visualizes data to identify patterns and trends; and provides actionable insights that inform business strategies. Creates and maintains dashboards, scorecards, recurring and ad hoc reporting, executive reporting, and automated workflows that improve operational efficiency, strengthen data quality, and support complex data science initiatives.

Responsibilities

• Collects, processes, cleans, validates, and reconciles large technology-related data sets to ensure accuracy and reliability.
• Analyzes data to identify trends, patterns, anomalies, and business impacts that support informed business decisions.
• Designs, develops, and maintains dashboards, scorecards, and data visualizations that communicate actionable insights to leadership and stakeholders.
• Provides support for building custom dashboards and ad hoc reports.
• Creates, manages, and delivers all recurring and ad hoc operational, risk, financial, governance, and executive reporting, ensuring accuracy, consistency, and timely distribution.
• Develops automated reporting, data collection, data transformation, and workflow solutions to reduce manual effort, improve efficiency, and strengthen data quality.
• Builds and maintains data pipelines, queries, models, and reporting solutions using analytics, automation, and business intelligence tools.
• Collaborates with cross-functional teams to define reporting requirements and establish key performance indicators, key risk indicators, and other performance metrics.
• Develops and apply statistical models and algorithms to support predictive analytics and business forecasting.
• Identifies opportunities to streamline, standardize, and automate reporting and analytics processes.
• Supports complex data science and big data initiatives by providing expert analytics input.
• Works independently on moderately complex projects with limited supervision.
• May provide guidance to junior analytics professionals within project contexts.
• Ensures compliance with data governance and security standards in all analytics activities.

Requirements

• Bachelor’s degree in a relevant field such as Data Science, Statistics, Computer Science, or related discipline.
• Minimum of 5 years of professional experience in analytics or data science roles.
• Proficiency in statistical analysis tools and programming languages such as SQL, Python, or R.
• Strong knowledge of data visualization tools (e.g., Tableau, Power BI).
• Language Fluency: English (Required)
• Regular or Temporary: Regular
• Work Shift: 1st shift (United States of America)

Qualifications

• Advanced degree (Master’s) in Data Science, Analytics, or related field.
• Experience with big data technologies and platforms (e.g., Hadoop, Spark).
• Certifications in analytics or data science (e.g., Certified Analytics Professional).
• Experience in the enterprise technology sector or related industry.
• Familiarity with machine learning techniques and tools.
• Experience developing production dashboards, comprehensive reporting, and automated workflows using business intelligence and automation platforms.