Lead Data Analyst

POSITION OVERVIEWThe Lead Data Analyst is responsible for guiding a team of data analysts in delivering high-quality data analysis and insights that drive business decisions. This role involves a mix of technical expertise, leadership, and collaboration with stakeholders - internal (across the organization) and external (Payreto clients). The Lead Data Analyst plays a pivotal role in ensuring data quality, creating data visualizations and reports, and automating data processes.

This role aims to spearhead Payreto's journey into adopting machine learning, computer vision, and advanced data analytics technologies as a part of our future growth strategy. WHAT WILL YOU DO? Leadership and People ManagementLead a team of data analysts, ensuring the team's success and growth.

Regularly conduct performance reviews and employee 1:1 to ensure alignment with standard of performance. Empower team members to present quality work, facilitate a harmonious working environment, and hone their skills. Listen to team member feedback and resolve any issues or conflicts.

Embodies and promotes the Team's 10 Commandments of Success (Team's work culture). Monitor employee concerns and disciplinary adherence. Lead the team members to attain established targets within the expected timeline.

Hire and recruit team members in line with the expected team culture and competencies. Oversee the process of onboarding, developing, and leading of the employees from the department. Operations and Account ManagementServe as the primary point of contact for data analysis and interpretation for assigned projects.

Coordinate with employees and clients regarding the details of the assigned projects for proper documentation of data findings. Establish processes, team targets, and project timelines. Ensure the team's performance adheres to the established processes and procedures.

Ensure that the team reaches the Client's targets and no escalations have been set up. Assist the team in any data-related questions. Maintain and initiate strong, long-lasting client relationships by establishing rapport and building trust.

Prepare and design reports for clients and management regarding project status, data trends, and data findings. Develop new projects with existing clients and/or new working relationships with new clients. Address client concerns, requests, or issues as needed, especially escalations.

Strategy and Product VisionHelp shape the organization's data-driven strategies through data insights and analysis. Propose and build necessary data infrastructure to help generate a more organized data infrastructure or client strategy. Write memos/documentation on proposed data set-up for the whole organization.

Identify product and service-related opportunities for the data analysis tasks. Technical Expertise (Full Life Cycle of Data Analysis)Understand different data and provide guidance in working on them. Design and create interactive dashboards using tools like PowerBI or Google Looker Studio.

Provide practical expertise in automating tasks with Python scripts and show a solid understanding of fundamentals. Show hands-on experience in different stages of the data lifecycle, including data collection, data cleaning, management, manipulation, and data visualization. Familiarity with different Python libraries such as pandas, NumPy, and Matplotlib.

Use advanced Excel skills, including pivot tables, complex formulas, VBA macros, and data analysis functions. Develop, document, and implement data control necessary for the installation and administration of the department's online data processing systems. Conduct data mining activities, such as collecting and organizing data from multiple sources to identify patterns or other useful information.

Analyze data to identify patterns, trends, or other meaningful insights in order to make recommendations for improvement. Oversee the creation of dashboards that are needed by the business stakeholders. Supervise the design and preparation of various statistical reports.

Communication and ReportingCollaborate with cross-functional teams, including business stakeholders, business development team, and other departments, to align on goals and objectives. Communicate findings to clients, including presenting reports in written or verbal format. Other TasksAssist in other ad hoc topics and projects as assigned by the immediate supervisor.Recommend and proactively implement opportunities for increased departmental efficiency.

Extend work hours when needed. WHAT SHOULD YOU HAVE? A bachelor's degree preferably in a relevant field such as Data Science, Statistics, Computer Science, Mathematics, Information Technology, or Economics.3-5 years of experience in data analysis, ideally with a progression into leadership roles.

Experience in managing data projects from start to finish, including planning, execution, and delivery. Experience leading a team of data analysts or similar roles. Hands-on experience in data analysis tools from Excel to using programming languages like Python, with involvement in data manipulation, cleaning, collection, and data visualization.

Ability to create clear and insightful visualizations using tools like Tableau, PowerBI, or Python libraries such as Matplotlib and Seaborn. Ability to analyze complex datasets, identify trends, and derive actionable insights. Strong problem-solving skills to tackle data-related challenges.

Ability to align data analysis with business goals and objectives. Agile: Able to adjust in a fast-paced environment and show flexibility. Forward-thinking mindset: Encourages the growth of the company and its people.

Fosters analytical and critical thinking. Possesses leadership skills and managing people toward the success of projects. NICE TO HAVE:Relevant certifications such as Certified Analytics Professional (CAP), Microsoft Certified: Data Analyst Associate, or Google Data Analytics Professional Certificate.

Proof of work from previous employment like projects and tasks or education. Portfolio showcasing projects displaying usage of different tools and skills. Experience working with clients from Western countries such as the UK, US, Europe, or Australia.

WHAT WE OFFERCompetitive Salary PackagesProfessional Development OpportunitiesHybrid Work SetupEquipment ProvidedDay 1 HMOLife Insurance