Data Analyst - Digital Administration
Bangalore, KA, India
Clean Harbors
Everywhere industry meets environment, Clean Harbors is on-site, providing premier environmental and industrial services.About CleanHarbors
Clean Harbors Inc. (www.cleanharbors.com) is a NYSE listed US based $6 billion company. Clean Harbors was founded in 1980 near Boston by Mr. Alan S. McKim, who today remains the company’s Chairman and CTO.
Everywhere industry meets environment, Clean Harbors is on-site, providing premier environmental, energy and industrial services. Clean Harbors employs a dedicated workforce of 23,000 employees and has over 450 service locations across the U.S., Canada and Mexico. Beyond addressing the environmental needs of its more than 300,000 customers, the Company has been on the front lines of addressing some of the largest emergency response events in North America of the past several decades including the BP Oil Spill in the Gulf of Mexico, the anthrax attacks in New York, the 2015 avian flu outbreak that devastated the poultry industry, Hurricanes Katrina, Rita and Sandy, and the oil pipeline breaks that affected the Yellowstone and Kalamazoo rivers, along with other major chemical releases into the environment.
Clean Harbors India has been strategically established as the Global Capability Center (GCC) to serve our parent company. We take pride in serving some of the most tech savvy business stakeholders at Clean Harbors. The GCC employees form part of our globally integrated teams that provide cutting-edge IT solutions and production support across platforms. Our shared services teams work seamlessly with their global counterparts in providing critical 24x7 support in various functions including Finance, HR, Procurement, IT and Operations. Our aggressive growth plans open significant career advancement opportunities for our employees.
Job Title: Data Analyst - Digital Admin
Experience: 7-9 Years
Location: Hebbal, Bengaluru
Working Hours: 3:00 pm – 12:00 am IST
Role Brief:
We are looking for a results-driven Data Analyst to join our growing e-commerce and customer portal team. In this pivotal role, you will work closely with sales operations, digital marketing, and product teams to deliver actionable insights, optimize user experience, and improve business outcomes. You will own data analysis and visualization while ensuring high data integrity and compliance. Additionally, you will provide end-user support, business process guidance, and assist in the transition from e-commerce to the customer portal where applicable. If you thrive in a fast-paced, dynamic environment and have a passion for driving business growth through data, we want you on our team.
- Collect, clean, and manage large datasets from multiple sources to ensure accuracy and reliability.
- Perform in-depth analysis of order details, revenue, user behaviour, and conversion metrics to uncover opportunities for improvement.
- Monitor key performance indicators (KPIs) and generate reports on revenue, line of business growth, and IP address tracking.
- Create clear, insightful dashboards and visualizations using tools like Tableau, Power BI, or advanced Excel.
- Present findings and actionable insights to both technical and non-technical stakeholders.
- Develop automated reporting solutions for efficient performance tracking.
- Provide data-driven recommendations for improving website usability, reducing friction points, and optimizing revenue.
- Maintain the highest standards of data accuracy, privacy, and security.
- Ensure compliance with data protection regulations and company policies.
Collaboration and Communication:
- Work with cross-functional teams, including marketing, product management, and IT, to implement tracking and measurement plans.
- Collaborate with data engineers to maintain robust and scalable data pipelines and infrastructure.
- Act as a subject matter expert on e-commerce analytics and customer portal transitions, guiding internal teams on best practices and strategies.
Other Requirements:
- Proficient in Advanced MS Excel (Pivots, calculated fields, conditional formatting, charts, dropdown lists, etc.), MS PowerPoint, and MS Access.
- Advanced level SQL.
- Familiarity with SQL, VBA coding, and Excel Macros.
- Minimum 7 years of professional experience in data analytics or a related role.
- Strong knowledge and hands-on experience with statistical and machine learning techniques.
- Strong communication and presentation skills.
- Ability to work in a fast-paced, collaborative environment.
- Knowledge of data engineering principles and practices is a plus.
- Experience providing end-user support and business process guidance.
Good to Know:
- Experience with Magento or other e-commerce platforms.
- Certifications in analytics tools or platforms (e.g., Python, SQL, Tableau, Power BI).
- Experience transitioning business users from e-commerce to customer portal environments.
Qualifications:
- Bachelor’s degree in a quantitative field (e.g., Business Analysis, Data Science, Computer Science, or related field).
Technical Expertise:
- Advanced proficiency in SQL and Excel (macros, VBA, pivot tables).
- Hands-on experience with analytics tools like Tableau, SQL, Power BI, and Advanced Excel.
- Knowledge of machine learning techniques and data engineering concepts is a plus.
Professional Experience:
- 7 to 9 years of experience in data analysis or a related role.
- Proven experience with recommendations for website optimization based on data-driven insights.
Behavioral Competencies:
- Ownership mindset with the ability to manage large datasets and deliver high-quality outputs.
- Strong problem-solving and analytical skills.
- Exceptional communication and presentation abilities.
- Ability to adapt to a fast-paced, dynamic environment and handle pressure effectively.
Interpersonal Expertise:
- Ability to work with highly sensitive and confidential information.
- Ability to be flexible with the scope of work.
- Proactive approach in follow-ups and project risk identification.
- Strong focus on process improvements and knowledge-sharing across teams.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Data Analytics Data pipelines E-commerce Engineering Excel Finance Industrial KPIs Machine Learning Pipelines Power BI Privacy Python Security SQL Statistics Tableau
Perks/benefits: Career development Flex hours Startup environment Team events
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