Consultant-Customer Insights

What you'll be doing

• Analyzing large datasets of customer data to identify trends and insights.
• Developing and maintaining reports, dashboards, and visualizations to communicate findings to stakeholders.
• Collaborating with cross-functional teams to translate insights into actionable business recommendations.
• Staying abreast of industry best practices and emerging technologies in customer analytics.
• Contributing to the development and implementation of customer segmentation and targeting strategies.
• Supporting the development and improvement of customer experience measurement frameworks.
• Assisting with ad-hoc research requests and special projects as needed.
• Synthesizing predictive insights to concrete business actions and collaborate with teams across the value organization (Finance / Marketing / Operations / GTS / AI&D etc.) to drive successful business outcomes.
• Leveraging understanding of customer behaviors, strategic thinking, strong financial acumen and cross-functional aptitude to build analytical solutions to make the best informed decisions.
• Contributing to the development of new product launch forecasts by incorporating market research, competitive analysis, and marketing plans.
• Developing and implementing marketing effectiveness frameworks: This includes setting KPIs, establishing targets, and defining measurement methodologies for the value organization.
• Overseeing performance monitoring and reporting: Regularly tracking, analyzing, and communicating progress against established goals to stakeholders.
• Identifying and analyzing performance gaps: Investigating the root causes of underperformance and recommending corrective actions.
• Generating business insights by using various predictive modeling techniques.
• Having Strong Aptitude to learn new technical subjects and emerging technologies and articulate their business implications.

What we're looking for

You'll need to have:

• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant work experience.
• Experience managing large complex projects involving multiple work streams and stakeholders.
• Strong storytelling to drive recommendations based on the data analysis and articulate tradeoffs and communication plan to leaders.
• Ability to translate complex ideas and express them in concise, simple to understand ways.
• Proven ability to take initiative, influence others and achieve results.
• Experience gathering, organizing and analyzing large amounts of information.
• Experience presenting ideas and content to a variety of stakeholders at various levels.
• Experience working collaboratively with a variety of stakeholders.
• Advanced research, analytical, and critical thinking skills with the ability to see things not readily apparent to others and to find unique solutions to complex challenges.
• Expert Experience obtaining, interpreting, and implementing customer insights data.
• Ability to present and interact with all levels of management.
• Advanced proficiency in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc).
• Strong Predictive / Prescriptive modeling experience.
• High proficiency with presentation tools like Google slide and PowerPoint.

Even better if you have one or more of the following:

• Master's degree in a relevant field (e.g., Business Analytics, Statistics).
• Experience in the telecommunications industry.
• Expertise in customer segmentation and targeting.
• Knowledge of advanced analytics techniques (e.g., machine learning, predictive modeling).
• Certifications in relevant tools and technologies (e.g., Tableau Desktop Specialist, Google Analytics).
• Strong analytical and problem-solving skills with the ability to draw insights from data.
• Excellent communication and presentation skills, both written and verbal.
• Proficiency in data visualization tools (e.g., Tableau, Power BI).
• Experience with SQL or other query languages.
• Familiarity with statistical analysis software packages (e.g., SPSS, R).
• Ability to work independently and as part of a team.
• Strong attention to detail and commitment to accuracy.