Data Analyst transforming raw information into meaningful insights for ITA Group and its clients. Collaborating with teams to shape strategies and inspire action through data analysis.
Responsibilities
Transform raw information into meaningful insights that help ITA Group and clients understand how programs spark engagement and fuel business success.
Be a key player in positioning ITA Group as a trusted strategic partner.
Identify the right questions, dig into data, or tell a compelling story with your findings to shape strategies and inspire action.
Collaborate with cross-functional teams to drive insights and deliver recommendations to stakeholders.
Uncover the 'why' behind data to drive smarter decisions and stronger results.
Analyze complex data and turn it into clear narratives.
Requirements
Bachelor’s degree in Data Analytics, Data Science, Computer Science, Statistics, Mathematics, MIS, Business Management or a related field
3+ years of data analysis experience
Advanced proficiency in Excel for data manipulation and modeling and Data visualization tools—Power BI preferred; Tableau or Looker
Proficiency in SQL for data extraction and transformation and Python or R for statistical analysis and automation
Understanding of natural language processing (NLP) techniques for analyzing unstructured data (e.g., customer feedback, social media)
Exposure to AI-enhanced BI tools (e.g., Power BI with Copilot, Tableau Pulse, ThoughtSpot)
Experience working with data engineering teams, data pipelines, and data warehouse architecture
Familiarity with project management tools like Jira, Confluence, or Workfront and version control and workflow tools
Proven ability to translate data into actionable insights that influence business decisions
Strong understanding of business strategy and operations
Ability to identify trends, patterns, and anomalies and connect them to business outcomes
Strategic thinker who can visualize the ideal state and map the path to get there
Experience engaging with executive stakeholders
Experienced in developing polished, professional presentations in PowerPoint to communicate insights, trends and recommendations
Skilled in translating data into clear, engaging stories through verbal presentations tailored to non-technical audiences
A natural collaborator who thrives in cross-functional environments.
A portfolio of client-based analytics work that drove measurable business impact
Demonstrated success in collaborating with cross-functional teams to accomplish a common goal
Industry-specific analytics experience in Automotive, Technology, Financial Services, Healthcare, Manufacturing, or Retail
Familiarity with machine learning concepts (e.g., supervised/unsupervised learning, model evaluation, feature engineering)
Ability to interpret and communicate the implications of AI model outputs to non-technical stakeholders
Hands-on experience developing and operationalizing AI models that improved business performance, optimized processes, or unlocked new insights.
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