Advertisement

Data Analyst – Reporting, Visualization & Forecasting

New Job Opportunity
We are actively hiring for a new role.
Apply Now
🏢 Career.zycto📍 Harrogate, Leeds💼 Full-Time💻 Hybrid🏭 Information Technology and Services💰 £30,000 - £45,000 per year

About Company

⚠ Job Safety Notice: We actively monitors listings to prevent scams, misleading, or unauthorized postings in line with PhishFort anti-phishing policies. If you spot a suspicious listing, submit a Job Takedown Request immediately for review and appropriate removal action.

Pioneering insights through data is at the heart of what we do. Career.zycto is a dynamic and forward-thinking organization dedicated to leveraging advanced analytics to drive strategic decisions and operational excellence. For a Data Analyst, this means an unparalleled opportunity to work with diverse datasets, influence key business outcomes, and grow within a collaborative environment that values innovation and continuous learning. We empower our teams to transform raw data into actionable intelligence, fostering a culture where your analytical prowess directly contributes to measurable success and shapes the future of our operations.

Advertisement

Job Description

Career.zycto is seeking a highly motivated and detail-oriented Data Analyst with a strong focus on Reporting, Visualization, and Forecasting to join our thriving team in Harrogate, Leeds. In this pivotal role, you will be instrumental in transforming complex datasets into clear, actionable insights that will guide strategic decision-making across various departments. You will be responsible for developing, maintaining, and improving robust reporting mechanisms, crafting compelling data visualizations, and building predictive models to forecast future trends.

This is an exciting opportunity for an individual passionate about data storytelling and keen to make a significant impact. You will collaborate closely with stakeholders from marketing, operations, and finance, acting as a trusted advisor and translating business questions into analytical problems. Your day-to-day will involve hands-on data manipulation, advanced statistical analysis, and the creation of user-friendly dashboards that empower our teams to monitor performance and identify growth opportunities. We are looking for someone who thrives in a fast-paced environment, possesses excellent problem-solving skills, and has a keen eye for detail when it comes to data accuracy and integrity. If you’re eager to harness the power of data to drive innovation and contribute to a company’s success, we encourage you to apply. This hybrid role offers the flexibility to blend remote work with essential in-office collaboration, ensuring a balanced and productive work environment where your contributions are valued and your professional development is prioritized.

Key Responsibilities

  • Design, develop, and maintain comprehensive reports and dashboards using various business intelligence tools to track key performance indicators (KPIs).
  • Create compelling and interactive data visualizations that effectively communicate complex analytical findings to non-technical stakeholders.
  • Perform in-depth data analysis to identify trends, patterns, and anomalies, providing actionable insights and recommendations.
  • Develop and implement statistical models for forecasting business trends, sales, and operational metrics.
  • Collaborate with cross-functional teams to understand their data needs and translate them into technical requirements.
  • Ensure data quality and integrity across all reporting and analytical outputs.
  • Automate data extraction, transformation, and loading (ETL) processes where feasible to improve efficiency.
  • Present findings and recommendations to senior management and other stakeholders.
  • Provide training and support to end-users on how to effectively utilize data tools and reports.
  • Continuously research and apply new analytical techniques and tools to enhance data capabilities.

Required Skills

  • Proficiency in SQL for data extraction and manipulation.
  • Demonstrable experience with BI tools (e.g., Tableau, Power BI, Looker) for reporting and visualization.
  • Strong analytical and problem-solving skills with a keen attention to detail.
  • Solid understanding of statistical analysis and forecasting methodologies.
  • Experience with Excel for data analysis and modeling.
  • Excellent communication and presentation skills, capable of explaining complex data insights clearly.
  • Ability to work independently and collaboratively in a team environment.
  • Proven experience in developing and delivering data-driven insights.

Preferred Qualifications

  • Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
  • Experience with scripting languages such as Python or R for data analysis and automation.
  • Familiarity with cloud data platforms (e.g., AWS, Azure, GCP).
  • Experience with advanced forecasting techniques (e.g., ARIMA, Prophet, time series analysis).
  • Knowledge of data warehousing concepts and data modeling principles.
  • Previous experience in a consulting or similar fast-paced analytical environment.

Perks & Benefits

  • Competitive salary and performance-based bonuses.
  • Generous paid time off, including public holidays and your birthday off.
  • Comprehensive health and wellness benefits package.
  • Opportunities for professional development and continuous learning (courses, certifications).
  • Hybrid work model for enhanced flexibility and work-life balance.
  • Collaborative and supportive team environment.
  • Modern office space with ergonomic workstations.
  • Regular social events and team-building activities.
  • Pension scheme contributions.

How to Apply

To apply for this exciting opportunity, please click on the application link below. Ensure your resume highlights your experience with data reporting, visualization, and forecasting, along with your proficiency in SQL and BI tools. We look forward to reviewing your application and exploring how your skills can contribute to our team.

Advertisement

Job Application

×
Scroll to Top