theprintspace | Senior Data Analyst

Join our team as Sr. Data Analyst / Operations & Strategy Analyst for a fast-growing software-driven art sales company

Company Overview:

theprintspace is a software-driven fine art printing company dedicated to providing high-quality printing and dropshipping services globally for artists, photographers, and creatives. We pride ourselves on our commitment to excellence, innovation, and customer satisfaction. Our state-of-the-art facilities, proprietary software and passionate team ensure our industry leading position.

Position Overview:

We are seeking a smart, ambitious junior-to-middleweight Operations & Strategy Analyst to join our team. As an Operations & Strategy Analyst, you will play a pivotal role in driving the company’s operational efficiency and strategic initiatives. You will be responsible for software testing, analysing data, optimising processes, and supporting the implementation of strategic projects through the lens of customer success. Your insights and recommendations will directly contribute to the company's growth, innovation, and overall performance.

Skills required:

• The ability to tell stories through data and to understand real-world events through data analysis
• Understanding of start-up culture and KPI monitoring
• Understanding of customer-centric software development
• Process-driven thinking
• Ability to analyse data to understand how to improve performance and develop new processes
• Ability to understand how to take offline processes and enshrine them in software driven processes
• Software testing
• Customer interfacing skills
• Good communication skills
• Attention to detail

Key Responsibilities:

Software Feedback and Testing:

• Department go-between: Serve as the primary communication link between customer service, production teams, and software developers. Facilitate clear and effective information exchange to address software-related issues.
• Collect and analyse feedback: Gather feedback from various departments and customers regarding software functionality and performance. Conduct root cause analyses to identify underlying issues and areas for improvement.
• Create detailed software tickets: Translate business needs and feedback into detailed software tickets that clearly outline the issues, root causes, and proposed solutions. Prioritise tickets based on impact and urgency.
• Coordinate software testing: Plan and oversee regular software testing cycles. Ensure new features and bug fixes are thoroughly tested before deployment. Collaborate with developers to address any issues identified during testing.

Branch Performance and Financial Analysis/Modeling :

• Monitor and analyse key performance indicators (KPIs): Track metrics such as production output, turnaround times, error rates, and customer satisfaction scores across our production facilities in the UK, Germany, and the USA. Manage dynamic dashboards that provide real-time tracking of performance metrics. Ensure these dashboards are user-friendly and accessible to relevant stakeholders.
• Provide detailed reports on branch profitability: Compile comprehensive reports on financial performance, including metrics like payroll as a percentage of revenue, adherence to advertised service level agreements (SLAs), error rates, redos, and refunds. Present these reports to senior management with actionable insights.
• Identify trends and areas for improvement: Conduct in-depth analyses to detect patterns and trends that impact operational efficiency and profitability. Propose data-driven recommendations to enhance performance.
• Work on our financial model to optimise our P&L and improve the accuracy of our projections: Develop and refine financial models to forecast revenue, expenses, and profitability. Conduct variance analysis to compare actual performance against projections and provide insights to optimise the profit and loss statement, enhancing financial decision-making.
• Competitor analysis to help us run price sensitivity tests: Conduct comprehensive analysis of competitor pricing strategies and market positioning, using the findings to design and execute price sensitivity tests. Assess the impact of different pricing scenarios on sales and profitability, recommending adjustments to improve competitive advantage.
• Other miscellaneous analysis and modelling: Perform ad-hoc financial analysis and modelling to support business initiatives, using quantitative methods to evaluate the financial implications of potential projects or investments. Provide clear, data-driven recommendations to senior management based on the analysis to inform strategic decisions.

Process Improvement and Innovation :

• Evaluate and improve processes: Continuously assess production and operational processes to identify inefficiencies and areas for improvement. Implement best practices and lean methodologies to enhance productivity and reduce costs.
• Drive cross-functional collaboration: Work with cross-functional teams, including production, procurement, customer service, and IT, to drive innovation and implement process improvements. Foster a culture of continuous improvement.
• Stay updated on industry trends: Monitor industry developments and emerging technologies. Identify and evaluate new tools, technologies, and methodologies that can enhance operational efficiency and competitiveness.
• Implement operational enhancements: Develop and execute plans to implement new technologies and process improvements. Measure the impact of these enhancements and adjust strategies as needed to achieve desired outcomes.
• Become an expert in using Coda (our no-code database) and leverage it to track and analyse the vast data trove we possess: Gain in-depth knowledge of Coda’s functionalities and continuously update skills through training and practice to fully leverage the tool’s features. Serve as the go-to resource within the agency for any Coda-related queries or issues, ensuring efficient use of the platform. Utilise Coda to organise, analyse, and interpret large datasets effectively, creating interactive dashboards and reports to visualise data trends and insights. Collaborate with other teams to ensure that data analysis supports overall business objectives and decision-making, enhancing the agency’s data-driven strategies.

Create Reports for the Agency:

• Create print drop reports: This involves providing actionable insights on the success of each print drop and recommending strategies for future drops. Ensure these reports are accurate and delivered on schedule to inform strategic decision-making.
• Create email capture campaign reports: Track and analyse the performance of email capture campaigns, measuring metrics like cut-through rate, conversion rate etc. Use this data to determine the effectiveness of different strategies, identify areas for improvement, and present findings with actionable recommendations to enhance email capture efforts.
• Analyse these reports and identify trends to draw meaningful actionable insights: Review and interpret data from various reports to identify significant trends and patterns. Develop actionable insights based on data analysis to inform strategic decisions and collaborate with cross-functional teams to implement changes that improve overall agency performance.
• Take full ownership of the reports and ensure they’re prepared accurately and in a timely manner: Ensure all reports are completed with high attention to detail and data integrity, managing the reporting schedule to guarantee timely delivery. Maintain thorough documentation of methodologies and data sources used in report preparation to uphold the accuracy and reliability of the reports.

TIME Logging and Analysis:

• Log company-wide time-tracking data using the TIME app: Oversee the logging of time-tracking data for all employees using the TIME app, ensuring accurate recording of hours and tasks. Monitor the system for any inconsistencies or errors to ensure reliable data collection across the company.
• Use the TIME data to draw meaningful insights and identify areas which require further optimization: Analyse time-tracking data to identify productivity patterns and workflow efficiencies. Highlight areas where time is underutilised or overextended, proposing strategies to optimise time management and enhance overall productivity.
• Use the TIME data to apportion salaries - this is crucial for our P&L: Utilise time-tracking data to accurately allocate labour costs to various projects and departments, ensuring salary apportionment reflects actual time spent on tasks. This supports more accurate financial reporting, contributing to a clearer P&L statement.