Senior Business Intelligence Analyst - Remote

Cognizant is a large IT Consulting firm that leverages modern technologies to transform a variety of business operations. We are seeking a highly skilled and experienced **Senior Business Intelligence Analyst** to join our growing team. The ideal candidate will be a data-driven problem solver with a passion for uncovering insights that drive strategic business decisions. This role will involve working with large, complex datasets, performing advanced statistical analysis, creating compelling visualizations, and effectively communicating findings to both technical and non-technical audiences. The Senior Data Analyst will play a key role in mentoring junior analysts and contributing to the development of our data analytics capabilities. This role is fully remote for US based candidates only.

**Role Responsibilities**

**Data Extraction & Preparation**

+ Extract, clean, transform, and validate data from various sources (e.g., databases, APIs, flat files) using SQL, Python, R, or other relevant tools.

+ Develop and maintain robust data pipelines and ETL processes to ensure data accuracy and availability.

+ Identify and resolve data quality issues, ensuring data integrity for analysis.

**Advanced Data Analysis**

+ Perform in-depth statistical analysis, including regression analysis, hypothesis testing, time-series analysis, and predictive modeling.

+ Identify trends, patterns, and anomalies in complex datasets to uncover actionable business insights.

+ Develop and implement analytical models to forecast key metrics, evaluate performance, and optimize strategies.

+ Conduct A/B testing analysis and provide recommendations for optimizing user experience, marketing campaigns, or product features.

**Reporting & Visualization**

+ Design, develop, and maintain interactive dashboards and reports using tools like Tableau, Power BI, Looker, or similar.

+ Present complex data in a clear, concise, and visually appealing manner for various stakeholders.

+ Automate reporting processes where possible to improve efficiency.

**Business Acumen & Communication**

+ Translate complex analytical findings into clear, actionable business recommendations for stakeholders across different departments (e.g., Marketing, Product, Operations, Finance).

+ Collaborate closely with business leaders to understand their analytical needs and define key performance indicators (KPIs).

+ Prepare and deliver compelling presentations to senior leadership and cross-functional teams.

+ Act as a subject matter expert on data and analytics for relevant business areas.

**Mentorship & Leadership**

+ Mentor and guide junior data analysts, sharing best practices and fostering their professional development.

+ Contribute to the continuous improvement of data analysis processes, methodologies, and tools within the team.

+ Stay updated with industry trends and advancements in data analytics and data science.

**Qualifications**

+ Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related discipline.

+ [5+] years of progressive experience as a Data Analyst/ Analytics Modeller, with a significant portion in a senior role.

+ Proven experience with machine learning concepts and algorithms, including model development and deployment.

+ Strong proficiency in SQL for data extraction and manipulation.

+ Expertise in at least one scripting language for data analysis (e.g., Python, R).

+ Proven experience with data visualization tools (e.g., Tableau, Power BI, Looker).

+ Solid understanding of statistical concepts and their application in business contexts.

+ Experience with large datasets and data warehousing concepts.

+ Excellent analytical, problem-solving, and critical thinking skills.

+ Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.

+ Ability to work independently and collaboratively in a fast-paced environment.

**Preferred Qualifications (Bonus Points)**

+ Experience with cloud platforms (e.g., GCP) and big data technologies

+ Familiarity with machine learning concepts and algorithms.

+ Experience with A/B testing frameworks and experimental design.

+ Knowledge of data governance and data security best practices.

**Salary and Other Compensation:**

Applications will be accepted until July 25, 2025.

The annual salary for this position is between $90,000 - $109,500 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizants discretionary annual incentive program, based on performance and subject to the terms of Cognizants applicable plans.

**Benefits:** Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

+ Medical/Dental/Vision/Life Insurance

+ Paid holidays plus Paid Time Off

+ 401(k) plan and contributions

+ Long-term/Short-term Disability

+ Paid Parental Leave

+ Employee Stock Purchase Plan

**Disclaimer:** The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.