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Data Storytelling Analyst - job 1 of 2

Company Description

Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1. 

We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023. 

As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally. 

Job Description

We are seeking a highly curious and innovative Data Storytelling Analyst to join Organisational Development team. The ideal candidate will have a passion for exploring data and leveraging to emerging technology uncover insights. This role involves building interactive dashboards, designing feedback questionnaires, and translating business data into compelling stories. Additionally, the candidate should have strong skills in statistical modelling, machine learning, and proficiency in Python, SQL, and data visualization tools.

Key Responsibilities:

Data Exploration and Analysis: Investigate and analyse large datasets to identify trends, patterns, and insights.

Dashboard Development: Create and maintain interactive dashboards using Power BI or similar tools to visualize key metrics and performance indicators.

Organisation Questionnaire Design: Develop and implement surveys and questionnaires to gather data from various sources.

Data Storytelling: Interpret and present data findings in a clear and engaging manner, creating narratives that drive business decisions.

Statistical Modelling and Machine Learning: Develop and apply statistical models and machine learning algorithms to solve complex business problems.

AI Integration: Explore and apply AI techniques to enhance data analysis and visualization processes.

Collaboration: Work closely with cross-functional teams to understand their data needs and provide actionable insights.

We admire

Analytical Mindset: Strong problem-solving skills and the ability to think critically about data.

Communication Skills: Excellent written and verbal communication skills, with the ability to convey complex data insights in a simple and compelling way.

Curiosity and Innovation: A natural curiosity for data and a drive to explore new ways AI can be applied to solve problems.

Qualifications

Educational Background: Bachelor’s or master's degree in data science, Statistics, Computer Science, or a related field.

Technical Skills: Proficiency in Python, SQL, data analysis tools , data visualization tools (e.g., Power BI, Tableau), and experience with AI/ML frameworks.

Additional Information

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability. 

One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology. 

We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. 

Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth. 

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Average salary estimate

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What You Should Know About Data Storytelling Analyst, Version 1

Are you ready to dive deep into the world of data? Version 1, a leading consultancy with over 26 years of experience in technology services, is on the lookout for a passionate Data Storytelling Analyst to join our vibrant team in Bengaluru, Karnataka, India. This role is perfect for someone who not only loves to explore data but also has a knack for transforming complex datasets into compelling narratives. Imagine building interactive dashboards and designing insightful feedback questionnaires that lead to impactful business decisions. You’ll work closely with various teams, translating numbers and trends into clear, engaging stories that drive strategies. Your expertise in statistical modeling and machine learning, along with proficiency in Python, SQL, and data visualization tools like Power BI, will be crucial in this role. If you are naturally curious, enjoy innovative problem-solving, and can communicate data insights with flair, this could be the perfect position for you at Version 1. We pride ourselves on being an award-winning employer, and we offer a supportive environment where you'll thrive professionally and personally, along with fantastic benefits that prioritize your well-being and growth. Join us as we continue to expand our Digital, Data and Cloud team, where your contributions can make a real difference!

Frequently Asked Questions (FAQs) for Data Storytelling Analyst Role at Version 1
What are the key responsibilities of a Data Storytelling Analyst at Version 1?

As a Data Storytelling Analyst at Version 1, your key responsibilities include data exploration and analysis to identify trends, developing interactive dashboards with tools like Power BI, designing feedback questionnaires, and interpreting data findings through compelling narratives. You'll also apply statistical models and machine learning algorithms to tackle business challenges and explore AI techniques to enhance your data analyses.

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What qualifications do I need to become a Data Storytelling Analyst at Version 1?

To become a Data Storytelling Analyst at Version 1, a bachelor's or master's degree in data science, statistics, computer science, or a related field is required. Additionally, proficiency in Python, SQL, data analysis tools, data visualization tools like Power BI or Tableau, and experience with AI/ML frameworks are essential qualifications for this role.

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How does Version 1 support the professional growth of Data Storytelling Analysts?

Version 1 is committed to our employees' professional growth, particularly for our Data Storytelling Analysts. We offer a comprehensive benefits package that includes access to incentivized certification programs in AWS, Microsoft, Oracle, and Red Hat, while also providing our Pathways Career Development Program that supports career development initiatives and helps you reach your full potential.

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What tools and technologies should a Data Storytelling Analyst be familiar with at Version 1?

A Data Storytelling Analyst at Version 1 should be well-versed in tools and technologies such as Python, SQL, Power BI or Tableau for data visualization, and have a solid understanding of statistical modeling and machine learning techniques. Familiarity with AI frameworks can also provide a significant advantage in this role.

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Is there a hybrid work model available for Data Storytelling Analysts at Version 1?

Yes, Version 1 offers a hybrid work model for Data Storytelling Analysts, allowing you to balance work and life effectively. This model also includes opportunities for business travel, ensuring that you get the best of both worlds when it comes to your work environment.

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Common Interview Questions for Data Storytelling Analyst
What is your experience with data visualization tools like Power BI?

When answering this question, highlight specific projects where you utilized Power BI to create dashboards, emphasizing how your visualizations helped stakeholders understand complex data more easily and informed decision-making.

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How do you approach data storytelling in your analyses?

Explain your process of taking raw data and transforming it into a coherent narrative. Mention the importance of understanding your audience, contextualizing the data, and using visuals or narratives to make insights understandable and actionable.

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Can you describe a time when you used machine learning to solve a business problem?

Discuss a specific project where you applied machine learning, detailing the problem, the approach you took, and the outcome. Emphasize how the model impacted the business positively, reinforcing your analytical skills and innovative thinking.

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What statistical methods are you most comfortable with?

List the statistical methods you are proficient in, such as regression analysis, hypothesis testing, or A/B testing. Provide an example of how you applied these methods in a real-world context to support your answer.

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How do you ensure the accuracy of your data analyses?

Describe your techniques for validating data quality and accuracy, such as cross-referencing data sources, performing checks for outliers, and conducting thorough data cleaning prior to analysis.

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What role does AI play in your data analysis processes?

Discuss how you incorporate AI into your analyses, potentially mentioning any tools or frameworks you've used. Highlight how AI enhances your work by automating tasks, providing deeper insights, or improving data processing efficiency.

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How do you communicate your findings to non-technical stakeholders?

Explain your approach to breaking down complex insights into digestible information for non-technical audiences. Highlight your use of storytelling techniques, visuals, or simplification of jargon to facilitate understanding.

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What methods do you use to design surveys or questionnaires for data collection?

Discuss the principles you follow when creating surveys, such as ensuring clarity, avoiding bias, and aligning questions with the goals of data collection. Provide an example of a successful survey you designed.

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How do you stay current with advancements in data analysis and visualization technologies?

Share your strategies for continuing education, whether through online courses, webinars, attending conferences, or being part of professional networks. Highlight how these activities help you implement current best practices in your work.

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What project are you most proud of related to data analysis or storytelling?

Choose a project where your analytical skills made a significant impact. Discuss the challenges you faced, the solutions you provided, and the positive outcomes achieved, demonstrating your value as a Data Storytelling Analyst.

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Version 1 proves that IT can make a real difference to our customers' businesses. We are trusted by global brands to deliver IT services and solutions which drive customer success. Our 1000 strong team works closely with our technology partners to...

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Full-time, hybrid
DATE POSTED
April 12, 2025

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