Senior Data Analyst - Business Intelligence

Role: Senior Data Analyst - Business Intelligence.
Experience: 4-6 Years.
Location: Hyderabad.

About MarketStar
In everything we do, we believe in creating growth, for our clients, employees, and community. For the past 35+ years, we have been generating revenue for the most innovative tech companies globally through our outsourced B2B demand, sales, customer success, and revenue operations solutions. We are passionate about cultivating career advancements for our people and supporting them through mentorship, leadership, and career development programs. We provide service and support to our communities through the MarketStar Foundation.

Our exceptional team is the cornerstone of MarketStar's accomplishments. We are proud of our award-winning workplace culture and for being named a top employer. These achievements are a testament to our six core values, embraced by our 3,000+ employees worldwide. From our headquarters in Utah, USA, to our global offices in India, Ireland, Bulgaria, Mexico, the Philippines, and Australia, we all work together to drive innovation and success.

We are excited to have you apply to join our MarketStar team and can’t wait to discuss how we can help you find growth!

Read on to understand more about this opportunity.

Job Description:

With our eyes set on the future, we are looking for an energetic, outcome -oriented Senior Data Analyst - Business Intelligence & Analytics to join our team of experts in Bangalore responsible for accurate data collection, processing, modeling, and analysis. The ideal candidate must have a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. The Analytics Manager will work closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use advanced data modeling, predictive modeling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes. The right person for the job will apply their exhaustive knowledge of data analysis to solving real-world problems faced by our company and finding opportunities for improvement across multiple projects, teams and business units.

Key Responsibilities & What will you need to succeed in this role?

• Lead and manage data analysis projects from inception to completion, collaborating with cross-functional teams to define objectives and deliverables.
• Apply advanced statistical techniques and machine learning algorithms to derive actionable insights from structured and unstructured data.
• Design and implement data models, data pipelines, and ETL processes to transform raw data into meaningful information.
• Develop and maintain interactive and visually appealing dashboards and reports using data visualization tools such as Tableau, Power BI, or similar.
• Perform deep-dive analysis on complex business problems, identifying patterns and trends to support strategic decision-making.
• Mentor and provide technical guidance to junior data analysts, fostering a culture of continuous learning and growth.
• Conduct regular data quality assessments and take corrective actions to ensure data accuracy and consistency.
• Act as a subject matter expert on data-related matters, providing expertise to other teams and stakeholders.

Qualifications:

• 4-6 years of experience in a position monitoring, managing, manipulating and drawing insights from data.
• Degree in Business Analytics/ Business Administration /Business Communication / Marketing
• Proven work experience as a Data Analyst, with a significant portion in a senior or leadership role.
• Proficiency in data analysis tools such as SQL, Python, R, or similar languages.
• Strong expertise in data visualization tools such as Tableau, Power BI, or similar.
• Demonstrated experience in applying advanced statistical techniques, machine learning algorithms, and predictive modeling.
• Solid understanding of data warehousing concepts, data modeling, and database design principles.
• Excellent analytical and problem-solving skills, with the ability to think critically and drive data-driven decisions.
• Strong leadership and mentoring abilities, with a passion for guiding and developing junior team members.
• Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Ability to work independently and lead cross-functional teams effectively.

Preferred Skills:

• Knowledge of big data technologies and distributed computing frameworks (e.g., Hadoop, Spark).
• Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform).
• Familiarity with data governance, data privacy, and compliance frameworks.
• Understanding of business intelligence concepts and methodologies.
• Experience in the domain-specific to the company's industry (e.g., finance, healthcare, e-commerce).

What’s in it for you?

• Constant Learning and an entrepreneurial growth mindset
• Employee centric benefits plan including but not limited to Comprehensive Health Insurance, generous Leave Policy, Covid Support, Vaccination drives, Wellbeing sessions, real time grievance redressal and work flexibility
• We are a people-first organization with policies and process that help you bring the best version of yourself into work including fast track growth for high potential folks
• An opportunity to be associated with the world’s leading brands as clients
• To be a part of an organization with more than 60% of homegrown Leaders
• Customized training programs that are catered to personal and professional development
• We are an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success.

If you’re up for this job, go on and hit the “Apply Now” button!