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Data Analytics & Reporting Specialist - Client Engagement

We are recruiting for a motivated Data Analytics & Reporting Specialist to deliver the reporting roadmap for our Marketing, Sales, and Customer Services teams at Control Risks.

This role requires close collaboration with stakeholders across multiple geographies including business owners, analysts and data engineers to translate business requirements into effective Power BI solutions.  Beyond dashboard creation, the role focuses on interpreting data trends, analyzing complex datasets and delivering actionable insights that directly influence decision-making.

You will be responsible for developing technical documentation, designing data solutions and delivering a mix of enhancing existing reports and entirely new dashboards to meet evolving business needs.

What You'll Do:

Data Analysis & Insights

  • Analyze large and complex datasets to uncover actionable trends, opportunities and risks.
  • Translate raw data into meaningful insights that drive strategic decision-making across marketing, sales, and customer service teams.
  • Collaborate with business stakeholders to identify reporting needs and proactively recommend improvements.

Data Analysis & Insights

  • Analyze large and complex datasets to uncover actionable trends, opportunities and risks.
  • Translate raw data into meaningful insights that drive strategic decision-making across marketing, sales, and customer service teams.
  • Collaborate with business stakeholders to identify reporting needs and proactively recommend improvements.

Dashboard Development & Management

  • Requirements Gathering: Collaborate with Product Owners and stakeholders to conceptualize, design,and deliver dashboards aligned with business objectives.
  • Data Visualisation: Craft visually compelling and interactive Power BI dashboards and reports that effectively convey business-critical data.
  • Documentation: Create and maintain comprehensive documentation for data models, report development processes and best practices.
  • Optimisation: Periodically review and enhance dashboard performance, promoting swift data access and a user-friendly experience.
  • Performance Tuning: Optimise Power BI reports and dashboards for speed and responsiveness, collaborating closely with business leaders to understand reporting requirements and deliver data-driven solutions.

Data Modelling

  • Data Integration: Collaborate with the Data Architect to develop and maintain the common data model for Sales & Marketing (Silver) from raw D365 CRM data (Bronze).
  • Identify additional Sales & Marketing data to ingest into Microsoft Fabric (e.g. Google Analytics and Hotjar) to augment our CRM data.
  • Query Optimisation: Collaborate with the Data Engineering team and Data Architect to ensure appropriate indexes and optimisation of the Gold consumption models in Fabric.
  • SSAS Cube Development: Maintain existing SSAS Cubes before migration to Microsoft Fabric.
  • Data Modelling: Working with the Data Engineering team and Data Architect to develop Sales & Marketing curated consumption models (Gold) to support Sales and Marketing Business Intelligence and Reporting requirements (Power BI)

User Support & Best Practice

  • Training & Support: Deliver training sessions for end users, ensuring high dashboard utilisation and to support data-driven decision-making.
  • Data Queries: Support end users with data queries.
  • Feedback Loop: Regularly collect user feedback on dashboard usability and data representation, refining based on this input.
  • Collaboration: Work closely with the business intelligence team and analysts across different departments to ensure alignment across reports.
  • Best Practices: Share best practices and improved ways of working with other business intelligence team members across the organisation.

Who You Are:

  • Power BI: Proficient in creating complex Power BI dashboards and reports, utilising DAX for calculations and measures.
  • SQL Server: Strong expertise in SQL Server development, capable of crafting bespoke SQL queries and managing/updating Database Views.
  • Microsoft D365: Essential familiarity with D365 CE & D365 Finance and Objects, our core systems.
  • Understanding of Microsoft Fabric and Lakehouse
  • Data Modelling: Ability to create data models and define relationships for accurate reporting from KQL database or Lakehouse SQL endpoints.
  • Marketing & Sales Acumen: Solid understanding of Marketing and Sales concepts, along with standard reporting metrics.
  • MarTech: Understanding of MarTech tools and the typical data they provide.
  • Communication: Strong communication skills to collaborate effectively with cross-functional teams and stakeholders.
  • Problem-Solving: Excellent problem-solving skills to troubleshoot data issues and optimise reports.
  • Team Player: Demonstrated ability to work collaboratively in a team environment.

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What You Should Know About Data Analytics & Reporting Specialist - Client Engagement, Control Risks

At Control Risks, we’re on the lookout for a dedicated Data Analytics & Reporting Specialist to enhance our client engagement through insightful reporting. This role is perfect for someone excited to dive into the world of data analytics, transforming complex datasets into actionable insights for our Marketing, Sales, and Customer Services teams. You’ll be joining a vibrant team, collaborating with stakeholders from various geographical locations. Your main mission will be to translate their business needs into effective Power BI solutions, going beyond mere dashboard creation. You’ll analyze significant data trends and develop comprehensive reports that aid in strategic decision-making. Imagine working with diverse datasets, collaborating closely with business owners, analysts, and data engineers, all while implementing and optimizing user-friendly dashboards that streamline our reporting processes. In addition to developing and maintaining technical documentation, you’ll play a key role in delivering new and improved dashboards that align with our dynamic business needs. This position requires not just a knack for data analysis but also strong communication skills to effectively convey insights to cross-functional teams. If you're eager to enhance your data skills and make a real impact at Control Risks, we’d love to hear from you!

Frequently Asked Questions (FAQs) for Data Analytics & Reporting Specialist - Client Engagement Role at Control Risks
What are the main responsibilities of a Data Analytics & Reporting Specialist at Control Risks?

As a Data Analytics & Reporting Specialist at Control Risks, your primary responsibilities will include analyzing large datasets to uncover actionable insights that drive decision-making in Marketing, Sales, and Customer Services. You will collaborate with stakeholders to gather reporting needs, develop visually compelling dashboards using Power BI, and maintain comprehensive documentation for data models and report development processes. You'll also support user queries and refine dashboards based on feedback.

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What qualifications do I need to be a Data Analytics & Reporting Specialist at Control Risks?

To thrive in the role of Data Analytics & Reporting Specialist at Control Risks, you should have proficiency in Power BI for dashboard creation, strong SQL Server development skills, and familiarity with Microsoft D365. Additionally, experience with data modeling, an understanding of Marketing and Sales concepts, and good communication skills are essential for collaborating with cross-functional teams.

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How does the Data Analytics & Reporting Specialist contribute to the team at Control Risks?

The Data Analytics & Reporting Specialist at Control Risks plays a crucial role in enhancing data-driven decision-making processes within the organization. By analyzing complex datasets and translating them into meaningful reports and dashboards, you will directly support the Marketing, Sales, and Customer Services teams in understanding trends and improving operational effectiveness, thereby contributing to the overall success of the company.

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What tools do Data Analytics & Reporting Specialists use in their role at Control Risks?

In the role of Data Analytics & Reporting Specialist at Control Risks, you will primarily utilize Power BI for data visualization and reporting. Additionally, proficiency in SQL Server and an understanding of Microsoft D365 are critical. Familiarity with data modeling tools and techniques, as well as knowledge in using Microsoft Fabric and Lakehouse, will further enhance your effectiveness in this position.

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Can you describe the collaboration process for a Data Analytics & Reporting Specialist at Control Risks?

Collaborating with various stakeholders is a significant part of the Data Analytics & Reporting Specialist's role at Control Risks. You will regularly work with business owners, analysts, data engineers, and other team members to gather requirements, share insights, and iterate on dashboard designs. This collaborative effort ensures that the reports and dashboards created meet the evolving needs of the business and enhance overall data utilization.

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Common Interview Questions for Data Analytics & Reporting Specialist - Client Engagement
How do you approach data analysis for business insights?

When approaching data analysis for business insights, I start by understanding the specific objectives related to the data. I gather requirements from the business teams, and then I dive into the data, using analytical tools to uncover trends and identify key metrics that align with those objectives. This process ensures that my insights are not just data-driven, but also actionable and relevant to the business goals.

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What experience do you have with Power BI dashboards?

I have extensive experience creating interactive Power BI dashboards that translate complex datasets into visual narratives. I focus on designing user-friendly interfaces and ensuring that the dashboards meet the business's reporting needs while effectively communicating key insights. Utilizing DAX for calculations allows for dynamic and responsive reports that are relevant to decision-makers.

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How do you handle conflicting data from multiple sources?

Handling conflicting data from multiple sources involves first validating the accuracy of the data. I then analyze the discrepancies to identify the root cause, whether it be differences in data collection methods or timing. Once I understand the conflict, I collaborate with relevant stakeholders to reconcile the data and ensure that we have a unified source of truth for reporting.

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Can you explain your experience with SQL Server?

I have a robust background in SQL Server development, including crafting custom SQL queries and managing database views. My experience allows me to effectively retrieve, manipulate, and analyze data, which is essential for creating accurate reports and dashboards. I’m also skilled at optimizing queries for better performance, ensuring that data retrieval processes are efficient.

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What is your process for gathering reporting requirements?

My process for gathering reporting requirements begins with conducting meetings with stakeholders to understand their specific needs and objectives. I ask clarifying questions to dig deeper into what they are looking to achieve with the reports and dashboards. I then document these requirements and ensure ongoing communication to adapt as business needs evolve.

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How important is user feedback when developing dashboards?

User feedback is crucial when developing dashboards as it helps to ensure that the final product meets the users’ needs and is easy to use. I prioritize collecting feedback throughout the development process, conducting usability tests, and iterating on the dashboard designs based on user input. This practice fosters user engagement and drives higher utilization of the reporting tools.

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Describe a technical challenge you've faced in data analytics.

One technical challenge I faced in data analytics involved optimizing a Power BI dashboard that was performing slowly due to excessive data being pulled from multiple sources. To address this, I implemented several strategies, such as aggregating data prior to visualization, refining the queries used to populate the dashboard, and leveraging data modeling best practices to enhance performance. This not only resolved the speed issue but also improved user satisfaction.

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What data visualization best practices do you follow?

When creating data visualizations, I adhere to best practices that include keeping the design clean and uncluttered, using appropriate chart types to match the data being displayed, and ensuring that key insights are highlighted. Additionally, I promote interactivity within the dashboards to allow users to explore the data, and I always consider accessibility to ensure that all users can benefit from the visualizations.

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How do you stay updated with industry trends in data analytics?

To stay updated with industry trends in data analytics, I regularly read relevant publications, participate in online forums, and attend webinars and conferences. Additionally, I engage with like-minded professionals on platforms like LinkedIn to exchange knowledge and learn about new tools and methodologies. Continuous learning is vital in the fast-evolving field of data analytics.

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What role does teamwork play in your work as a Data Analytics & Reporting Specialist?

Teamwork plays a vital role in my work as a Data Analytics & Reporting Specialist. Collaborating with various departments allows us to leverage diverse insights and skills, enhancing the quality and relevance of our reports. Regular communication and alignment across teams ensure that we collectively meet the business objectives and effectively utilize data for strategic initiatives.

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Experts in risk and opportunity Control Risks is a global specialist risk consultancy that helps to create secure, compliant and resilient organisations. Combining unrivalled expertise, experience and reach with the power of data and technology, ...

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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
January 7, 2025

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