Data Analyst

Role Introduction:

You will collaborate with various teams to ensure data-driven decision-making and continuous improvement.

What You Will Do:

• 1. Data Collection and Analysis
• Outcome: Consistently gather and analyze diverse data sources to uncover actionable insights that directly inform service improvements, operational efficiency, and customer satisfaction.
• Performance Expectations:
• Identify and extract relevant data from both structured and unstructured sources.
• Deliver accurate analyses that generate insights for continuous improvement.
• Proactively identify trends and patterns that could influence decision-making.
• Achieve an acceptable level of accuracy and timeliness in analysis deliverables.
• Reporting and Visualization
• Outcome: Develop and maintain clear, real-time dashboards and reports that provide visibility into key performance indicators (KPIs) and operational metrics.
• Performance Expectations:
• Design user-friendly, visually engaging reports that are accessible to a range of stakeholders, including senior management and non-technical teams.
• Ensure that the reporting framework is scalable and can be adapted as business needs evolve.
• Maintain a high standard of consistency, accuracy, and timeliness in reporting.
• Process Improvement
• Outcome: Identify and recommend data-driven solutions to eliminate inefficiencies and bottlenecks in service delivery, contributing to optimized operations and higher customer satisfaction.
• Performance Expectations:
• Demonstrate the ability to analyze service delivery processes to pinpoint root causes of inefficiencies.
• Propose actionable, evidence-based recommendations for improvement.
• Work with teams to implement and measure the effectiveness of suggested changes.
• Customer Insights
• Outcome: Analyze customer feedback and behavior to identify trends and preferences that inform service optimization and strategic initiatives.
• Performance Expectations:
• Extract actionable insights from customer data that contribute to service personalization and customer satisfaction.
• Understand customer pain points and make data-driven suggestions for enhancing the customer experience.
• Collaborate effectively with customer-facing teams to gather and share insights.
• Predictive Analytics
• Outcome: Build and implement predictive models to forecast future trends, customer behavior, and service demands, aiding in proactive planning and resource allocation.
• Performance Expectations:
• Develop and validate predictive models with a high degree of accuracy.
• Utilize historical data and machine learning techniques to forecast future trends and service needs.
• Communicate predictions and their business implications clearly to stakeholders.
• Collaboration and Stakeholder Engagement
• Outcome: Work cross-functionally with Operations, Commercial, Customer Service, and IT teams to ensure data integrity, drive alignment, and support key initiatives.
• Performance Expectations:
• Build strong working relationships with teams across the business.
• Collaborate closely to ensure alignment between business needs and data insights.
• Effectively manage competing priorities and deliver results in a timely manner.
• Data Governance
• Outcome: Ensure data quality, accuracy, and security are maintained in all aspects of data management and reporting.
• Performance Expectations:
• Follow best practices for data governance and quality control to ensure consistency across datasets.
• Adhere to security protocols and compliance standards in handling data.
• Regularly audit and clean data to maintain integrity.

1. Key Success Factors
2. Analytical and Problem-Solving Skills

• Ability to synthesize complex datasets and translate them into clear, actionable insights.
• Capacity to think critically and apply logical reasoning to data challenges.

1. Technical Proficiency

• Expertise in data analysis tools (SQL, Excel, Power BI, etc.) and ability to quickly adapt to new tools and technologies.
• Advanced capabilities in data visualization and statistical analysis.

1. Attention to Detail

• Demonstrates meticulous attention to detail when handling data and generating insights, ensuring high levels of accuracy and precision.

1. Effective Communication

• Ability to distill complex data into clear, understandable insights and communicate findings effectively to both technical and non-technical stakeholders.
• Skilled in presenting data-driven recommendations in a concise, persuasive manner.

1. Collaboration and Teamwork

• Strong interpersonal skills and the ability to collaborate across diverse teams to achieve common objectives.
• Ability to manage multiple priorities and engage stakeholders effectively to align on goals.

1. Customer-Centric Mindset

• Deep understanding of customer needs and a drive to tailor services and operations to enhance customer satisfaction and loyalty.

1. Proactive and Results-Oriented

• Demonstrates a proactive approach to problem-solving, continually seeking ways to improve service delivery, efficiency, and operational outcomes.
• Focused on achieving tangible results that align with company goals and KPIs.

What You Will Have:

• Key Competencies
• - Data-Driven Decision Making: A proven ability to use data and analytics to drive decisions that improve operational and service outcomes.
• Process Optimization: Strong skills in identifying inefficiencies in processes and recommending solutions that reduce waste and improve outcomes.
• Predictive Analytics: Knowledge of predictive modeling techniques and the ability to implement them to forecast future trends and service needs.
• Cross-Functional Collaboration: Ability to work seamlessly with teams in IT, Operations, Commercial, and Customer Service to support business goals.
• Communication and Influence: Proficient at influencing decision-makers with data-driven insights, ensuring alignment between teams and leadership.

1. Required Experience and Qualifications

• Education: A degree in Data Science, Statistics, Computer Science, or a related field. Advanced certifications in analytics or data science are desirable.
• Experience:
• Proven experience as a Data Analyst, ideally within a service or operations-oriented role.
• Strong experience with SQL, Excel, and reporting tools such as Power BI.

What We Do For You:

• Generous Annual Leave – 20 days, plus public holidays, with the possibility to buy additional days
• Life Insurance – 3x times annual salary
• to the latest technologies

Who We Are:

Our mission is to power the world of work and, as you can see, our software underpins some of the UK's most critical sectors.

We invest in our brilliant people. They are at the heart of our success as we strive to be a diverse, inclusive and engaging place to work that not only powers the world of work, but empowers the growth, ambitions and talent of our people.

To learn more about working at OneAdvanced please click here