Business Data Analyst

Overview

R5300

Employment type: Full time

Worksite flexibility: Hybrid Who we are
CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary We are looking for a motivated Business Data Analyst ready to take us to the next level! If you have SQL , Python , Tableau , AWS , ETL Pipelines , Databricks and are looking for your next career move, apply now.

Job Description
We are looking for a Business Data Analyst. This position will be full-time and Hybrid (Bangalore).

What You’ll Do

Analyze Marketing Campaigns: Evaluate the effectiveness of marketing campaigns and demand generation programs in driving leads, customer acquisition, and revenue growth for the business unit.

Data Analysis Across Channels: Examine marketing and sales data from various sources—including CRM systems, web analytics, social media, email campaigns, search, direct sales, and indirect sales—to assess campaign performance, gauge customer engagement, and identify opportunities for optimization and growth.

Insight Generation: Demonstrated experience proactively identifying and generating insights to enhance business and marketing performance, moving beyond descriptive analysis to inform strategic decisions.

Storytelling with Data: Go beyond reporting numbers by crafting compelling narratives that help stakeholders quickly grasp insights and take action. Develop intuitive visualizations and presentations that turn complex datasets into clear, persuasive business stories.

Trend and Pattern Identification: Dive into large datasets to uncover patterns, trends, and customer segments to refine targeting strategies and personalize marketing efforts effectively.

Operational Efficiency: Identify opportunities to streamline operations, promote data-driven decision-making, and support business growth through analytical initiatives.

Predictive Analytics: Utilize statistical models and machine learning techniques to forecast customer behavior and anticipate marketing performance outcomes.

Dashboard and Report Development: Develop and maintain dashboards, reports, and key performance indicators (KPIs) to measure and communicate the effectiveness of marketing initiatives.

Data Accuracy and Consistency: Ensure the accuracy, consistency, and reliability of data collection, processing, and reporting methodologies.

Cross-Functional Collaboration: Collaborate closely with marketing, sales, and product teams to align data insights with business objectives and inform strategic planning.

Automated Reporting: Create automated reports on a weekly, monthly, and quarterly basis to provide timely insights into marketing performance.

Ad Hoc Analysis: Conduct ad hoc data analyses and performance reports as required to address specific business questions or challenges.

Advanced Analytics Tools Utilization: Leverage analytics tools such as Adobe Analytics, Tableau, SQL, Python, and Alteryx to extract, analyze, and visualize data effectively.

What You'll Need

BA/BS in Business Analytics, Data Science, Marketing, Statistics, Economics, or other related field (Master a Plus)

5+ years in marketing analytics, business intelligence, or a related field.

2+ years of experience analyzing sales and marketing data.

Strong ability to identify business issues, formulate plans to resolve these issues and effectively communicate the results to all levels of the organization

Proficiency in data visualization (Tableau or similar visualization tools) along with story telling.

Proficiency in SQL or Python for data manipulation and analysis.

Experience in AWS, R, regression, Machine learning etc. and Knowledge of predictive modeling, machine learning, or AI-driven marketing analytics is a plus

Experience with marketing analytics platforms and has worked/understanding on digital marketing data: Adobe Analytics, Google Analytics, CRM systems (Salesforce, Hubspot etc.), SEO, SEM, SMM, email and marketing automation tool (Eloqua, Marketo etc.)

Candidate certified in tools is an added advantage.

Strong problem-solving and critical-thinking abilities.

Excellent communication skills to translate data into actionable business insights.

Ability to work cross-functionally with marketing, sales, and technology teams in global team setup environment.

Ability to learn new tools quickly.

Physical Demands

Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.

Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor

Reasonable accommodation statement
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.