Demandbase | Senior Data Analyst | india

2 weeks ago


india Demandbase Full time

Senior Data Analyst (Data Engineering) – Hyderabad/Bangalore/Delhi/NCR


About Demandbase The world’s largest and fastest-growing companies such as Accenture, Adobe, DocuSign and Salesforce rely on Demandbase to drive their Account-Based Marketing strategy and maximize their B2B marketing performance. We pioneered the ABM category nearly a decade ago, and today we lead the category as an indispensable part of the B2B MarTech stack. Our achievements and innovation would not be possible without the driven and collaborative teams here at Demandbase. As a company, we’re as committed to growing careers as we are to building world-class technology.


Demandbase helps businesses drive rapid revenue growth by empowering business leaders to discover new markets, target and engage the right buyers, and manage customer data quality. Our AI-based B2B data and intelligence platform delivers the industry’s most relevant and reliable buyer signals and, combined with Demandbase data expertise and best-in-class customer support, is trusted by the world’s best performing companies.

We believe in the power of technology to deliver business value, and in creating solutions that change the way companies sell and engage with their customers. We take risks in order to develop groundbreaking solutions. We are market savvy and competitive, and ready to transform our industry at this exciting inflection point for the company and the market. We focus on the needs of our customers now, and in the future. We love coming to work every day and are looking for smart, engaged, and fun people to join us.


As a company, we’re as committed to growing careers as we are to building world-class technology. We invest heavily in people, our culture, and the community around us. We have offices in the San Francisco Bay Area, New York, Seattle, and teams in the UK and India, and allow employees to work remotely. We have also been continuously recognized as one of the best places to work in the San Francisco Bay Area.


About the Role:

The Senior Data Analyst will mentor an emerging team of data analysts to own, manage and resolve data analysis and escalation tasks. This person is responsible for understanding requirements, analyzing large datasets, and independently ensuring resolution of tasks - often customer-initiated. You will work with modern software and tools that allow you to interact with and manage an enormous data set, backing best-in-class go-to-market products online. You will build and mentor a team working alongside data engineers to drive customer success. You will use your data analysis and leadership skills in a fast-paced agile environment to push product quality to new levels.


Responsibilities:


  • Play a key role in building a team of data analysts and mentoring that team end-to-end ownership of tasks and projects. This will include
  • Triage, Investigation into, and resolution of customer-generated requests and escalations.
  • Coordination with data engineers to design and operationalize general solutions to common problems you discover.
  • Deeper surveys and investigations to understand and improve data quality.
  • Driving backlog execution, talking to engineers / stakeholders / CSMs and taking ownership of the tickets and driving them to completion.
  • Technical acumen and interpersonal skills are both central requirements to this role.
  • Conduct extensive data analysis and identify key insights from data using various tools and scripts (Python, SQL, Excel etc.).
  • This would include various phases of manual interventions in addition to utilizing Automated Scripts and Libraries.
  • Visualize and propose innovative as well as simple data models to complex problems independently by applying deep knowledge of various programming languages and statistical tools.
  • Demonstrate passion for high quality data, impact mindset, strongly believe in applying analytical chops to tell a "story'' focused on insights and context not just data.
  • Provide excellent data stewardship by understanding the requirements, probe for details, analysis and identifying its trending to deliver projects with high quality results and within agreed timelines.
  • Collaborate and communicate with key stakeholders within the organization for delivering best-in-class service.
  • Continuously manage dependencies, resolve impediments and find ways to improve quality and timelines of the deliverables.
  • Demonstrate accountability and meet all the acceptance criteria defined for the completion of a given Project.
  • Record and manage all tasks associated with initiating, tracking, executing and delivery of projects.
  • Use best practices to refine and continuously improve project execution, internal documents and efficiency.


Skills/Experience:


Must-have:

  • Expert knowledge of SQL, ideally using BigQuery or similar data platform
  • Strong in Extensive Data Analysis - Manual as well as Automated validation and stratification of data.
  • Excellent problem solving and analytical skills with attention to detail.
  • Excellent written reporting and documentation skills
  • Excellent proactive communication and interpersonal skills


Good to have:

  • Knowledge of Data Visualization using BI tools.
  • Some skill implementing and executing in a programming language like Python or Scala
  • Experience working in an agile environment - scrum, sprints etc
  • Experience using Google Docs / Confluence / JIRA preferred


Behavioral & Interpersonal skills:

  • The ideal candidate will have a background working directly with clients (mainly North America) and is able to multitask
  • Exceptional organizational, presentation, and communication skills (verbal and written)
  • Able to thrive in a fast-paced environment - moving quickly, adapting well to change, thinking strategically and tactically executing a plan
  • Able to work independently and as an integral part of a team
  • Quick learner and result oriented


Basic Qualifications:

  • Bachelor’s degree preferably in Information Systems or any Engineering field
  • 5 – 8 years of relevant experience in data manipulation, data querying, and data analysis skills



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