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Data Analyst

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

We are looking for a dedicated individual who holds relevant experience in managing enterprise-wide programs and process improvement initiatives and can deliver tangible benefits through these initiatives. The individual should be able to demonstrate result-orientated approach with energy and commitment with a high degree of competence.

Roles and Responsibilities

  • Experience in program management, driven by a passion for quality implementation and eye for details, process excellence, strong fundamentals & process understanding
  • Build and maintain good working relationships with key internal and external stakeholders
  • End-to-end facilitation and query resolution for projects for process onboarding to implementation, kick-off meeting and follow-up on action points
  • Giving support to project teams in defining KPIs, verifying data quality and analysis of metrics at the project and organization level.
  • Experience in software implementation methodologies like Agile, Waterfall and Kanban, that align to the business objectives of the organization.
  • Help projects tailor the processes to meet their project objectives without deviating from meeting business objectives
  • Facilitate day-to-day activities pertaining to the query resolution, tool support and managing stakeholders
  • Involves continuous engagements, follow up with stakeholders, organize and attend meetings and follow up
  • Organize attend meetings, documentation, follow up on these
  • Should be good at process improvisation and innovation and should be proactive in their approach
  • Should know data visualization and analysis techniques and should be able to present relevant dashboards/reports to Senior Management at a defined frequency
  • Conduct training and provide coaching to teams on the implementation of the processes and supporting activities
  • Organize the planning of various working groups, including scheduling meetings, tracking projects, and maintaining regular status updates
  • Provide project updates on a consistent basis to various stakeholders about the status, adjustments, and progress
  • Achievement of agreed and defined program milestones within defined timelines

Job requirements

  • A minimum of three years of experience in the IT industry
  • Should be proficient in MS Excel and PowerPoint
  • Excellent written and verbal communication skills
  • Strong attention to detail and technicalities
  • Good interpersonal and multi-tasking skills
  • Excellent analytical skills

Good to have

  • Good experience in Project Management Tools JIRA, Sharepoint, Confluence etc.
  • Any certification(s) in Project Management like PMP, CSM, etc.

Qualifications

  • Graduation in Computer-application/Maths/Science
  • Post-Graduation in Operations/Business/Computer-application Management

Average salary estimate

$65000 / YEARLY (est.)
min
max
$50000K
$80000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Analyst, Nagarro

At our Digital Product Engineering company, we're on the lookout for a talented Data Analyst to join our vibrant remote team in Sri Lanka. This is an exciting opportunity where your analytical skills will shine in a fast-paced environment. We pride ourselves on building innovative products, services, and experiences that engage users across digital platforms. As a Data Analyst, you will leverage your program management expertise to enhance our enterprise-wide processes and deliver real benefits through your initiatives. Your role will involve collaborating with both internal and external stakeholders, providing end-to-end support from onboarding through implementation, and ensuring project teams are well-equipped with insightful KPIs. You'll dive deep into data visualization and reporting, regularly presenting your findings to senior management. With strong problem-solving skills, you’ll facilitate the seamless operation of various projects while fostering innovation and process improvement. If you have a keen eye for detail, thrive under pressure, and are eager to take your career to the next level in a non-hierarchical and dynamic culture, we would love to hear from you!

Frequently Asked Questions (FAQs) for Data Analyst Role at Nagarro
What are the main responsibilities of the Data Analyst at the Digital Product Engineering company?

As a Data Analyst at our Digital Product Engineering company, your main responsibilities will include managing enterprise-wide programs, facilitating projects from onboarding to implementation, and collaborating with stakeholders. You'll also be tasked with defining KPIs, verifying data quality, and analyzing project metrics. Additionally, your role will require you to present dashboards and reports to senior management, assist project teams, and conduct training on process implementations, ensuring that key objectives are met effectively.

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What qualifications are needed to become a Data Analyst at this company?

To become a Data Analyst at our company, you need a minimum of three years of experience in the IT industry, along with a graduation degree in Computer-application, Maths, or Science. Post-Graduation in Operations, Business, or Computer-application Management is preferred. Proficiency in MS Excel and PowerPoint, excellent communication skills, and strong analytical abilities are crucial. While not required, familiarity with Project Management Tools like JIRA and certifications like PMP or CSM can enhance your profile.

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How does the Data Analyst role contribute to process improvement initiatives at the company?

In the Data Analyst role at our Digital Product Engineering company, you will directly contribute to process improvement initiatives by employing your analytical skills to identify inefficiencies and suggesting actionable improvements. You will facilitate meetings, track progress, and ensure that projects are on target to meet business objectives. Your ability to present data-driven insights and foster collaboration among team members will be essential in influencing strategic decisions that lead to effective process enhancements.

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What technical skills are essential for the Data Analyst position?

Essential technical skills for the Data Analyst position include proficiency in data visualization and analysis techniques, notably in MS Excel and PowerPoint for reporting purposes. Familiarity with Agile, Waterfall, and Kanban implementations is important to align projects with business goals. Experience with Project Management Tools like JIRA, Sharepoint, or Confluence will be highly advantageous. Furthermore, strong analytical skills and attention to detail are vital for evaluating data and drawing meaningful conclusions.

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What can a new hire expect from the work culture as a Data Analyst at this company?

As a new Data Analyst at our Digital Product Engineering company, you can expect a dynamic and non-hierarchical work culture. We prioritize collaboration and innovation, providing you with opportunities to share ideas and contribute to various aspects of project management. The remote work environment embraces flexibility while keeping you connected with a global team of over 15,000 experts. We encourage personal development, recognize achievements, and foster a culture of continuous learning.

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Common Interview Questions for Data Analyst
Can you explain your experience with data visualization methods?

In answering this question, describe specific data visualization techniques you've employed, such as using graphs, charts, or dashboards to present data findings. Highlight any tools you've used, such as Tableau or Excel, and emphasize your ability to tailor your visuals to your audience for clearer communication.

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How do you ensure data accuracy when working with large datasets?

Discuss your approach to maintaining data accuracy, including methods like data validation checks, cross-referencing sources, and regular auditing of datasets. Mention any tools or programming languages you've utilized, like SQL, to streamline these processes.

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Describe a time you identified an inefficiency in a process and what you did about it.

Use the STAR method (Situation, Task, Action, Result) to structure your response. Share a specific example where you recognized an inefficiency, how you analyzed the situation and suggested actionable improvements that resulted in enhanced performance or productivity.

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What project management methodologies are you familiar with, and how have you applied them?

Elaborate on your knowledge of Agile, Waterfall, and Kanban methodologies. Give examples of projects you’ve managed using these approaches, including how they helped meet deadlines, manage resources, and achieved project objectives.

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How do you prioritize tasks in a fast-paced environment?

Explain your method for prioritizing tasks, such as using urgency versus importance matrices, setting clear deadlines, or adopting agile techniques. Share an example where your prioritization had a positive impact on project outcomes.

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What are some key performance indicators you have used in your previous roles?

Discuss specific KPIs relevant to your experience and how you used them to measure success. Provide examples of how tracking these indicators helped guide project teams and influence decision-making.

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How do you handle conflicts with stakeholders during a project?

Emphasize your communication and negotiation skills in conflict resolution. Share a scenario where you successfully navigated a disagreement, how you managed to find common ground, and the positive outcome that followed.

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What tools do you use for data analysis and why?

Mention the data analysis tools you are most proficient in, such as Excel, Python, or R, and explain why you prefer them. Highlight the advantages they provide in terms of analysis capabilities, ease of use, and integration with other systems.

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Can you give examples of how you’ve coached or trained team members?

Provide specific instances where you’ve taken the initiative to train or mentor colleagues. Discuss the strategies you used to convey complex ideas and how your coaching contributed to team success.

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What motivates you in your work as a Data Analyst?

Reflect on what drives your enthusiasm for data analysis, such as solving complex problems, improving processes, or seeing the direct impact of your work on projects. Share how this motivation has influenced your career positively.

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Nagarro's mission statement is "To make distance irrelevant between intelligent people." This indicates that people who are intelligent will use trust and understanding to bridge the distance among themselves; and make distance irrelevant when dea...

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Full-time, remote
DATE POSTED
December 12, 2024

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