Junior Data and Technical Analyst

WHAT WE OFFER

• Competitive Salary Packages
• Professional Development Opportunities
• Hybrid Work Setup
• Equipment Provided
• Day 1 HMO
• Life Insurance

• Pull extract consolidate and prepare data from multiple sources systems databases spreadsheets reports and business tools
• Clean raw datasets by identifying missing values duplicates formatting issues inconsistencies and other data quality concerns.
• Use Python spreadsheets SQL or other relevant tools to process transform and structure data for analysis.
• Validate data accuracy by reconciling information across different systems reports or source files.
• Maintain organized data files documentation and analysis outputs for repeatable use.
• Identify and escalate data integrity issues that may affect reporting accuracy business decisions or client deliverables.

• Analyze datasets to identify trends patterns anomalies performance movements and operational insights.
• Prepare recurring and ad-hoc reports for internal teams management and client stakeholders.
• Analyze operational sales marketing compliance productivity quality and client performance data.
• Detect abnormal spikes drops or suspicious patterns in the data and communicate these to the relevant stakeholders.
• Translate business questions into clear data analysis outputs.
• Provide data-backed recommendations to support decision-making across Payreto units.
• Summarize findings in a way that is clear concise and useful for both technical and non-technical audiences.

• Build and maintain dashboards using tools such as Power BI Looker Studio Google Sheets Excel or other visualization platforms.
• Create charts tables summaries scorecards and other visual outputs that make data easier to understand.
• Design dashboards that track key performance indicators operational productivity client metrics quality results and business outcomes.
• Ensure dashboards are accurate readable updated and aligned with stakeholder needs.
• Improve existing reports and dashboards by making them more automated scalable and decision-oriented.

• Support the identification of business processes that can be improved through AI automation data analysis or workflow redesign.
• Assist in designing testing and implementing AI-assisted tools scripts workflows and reporting solutions for internal teams and client-facing projects.
• Work with stakeholders to understand operational pain points and translate them into practical automation or AI-enabled solutions.
• Help build and deploy basic AI-supported workflows such as document analysis data extraction report generation classification summarization quality checking or anomaly detection.
• Use Python and other approved tools to prototype test and improve automation solutions.
• Support the implementation of AI tools by preparing data validating outputs testing accuracy documenting limitations and monitoring performance after deployment.
• Assist in creating prompts process logic validation rules and user instructions for AI-supported workflows.
• Evaluate AI-generated outputs for accuracy consistency business relevance and compliance with internal standards.
• Document AI and automation workflows including data sources assumptions process steps risks controls and user guidelines.
• Help train or support internal users on how to properly use deployed dashboards automation tools AI workflows or reporting solutions.
• Monitor deployed solutions and recommend improvements based on user feedback output quality process efficiency and business impact.
• Ensure that AI and automation solutions are implemented responsibly with attention to data privacy accuracy auditability and appropriate human review.

• Communicate analysis findings limitations and recommendations clearly to internal and external stakeholders.
• Ask relevant questions to clarify business objectives report requirements definitions assumptions and expected outputs.
• Set realistic expectations on timelines data limitations risks and dependencies.
• Prepare clean and professional outputs that may be used in client discussions management reports business reviews or internal planning.
• Explain technical work in simple business language.
• Work professionally with stakeholders from different functions backgrounds and levels of technical understanding.

• Help promote a stronger data-driven culture within the organization.
• Support special projects assigned by the immediate supervisor or management team.
• Assist in research analysis automation data validation reporting and process improvement initiatives.
• Take on new tools datasets or business topics as required by Payretos evolving needs.
• Join product vendor discussions on AI Data Science etc.
• Perform other official work as instructed by the immediate supervisor/manager.
• Recommend and proactively implement opportunities for increased departmental efficiency.
• Stay updated on industry trends news and techniques.
• Keep organized files and documentation.
• Extend work hours when needed.

• Bachelors degree in Business Finance Economics Physics Mathematics Computer Science Industrial Engineering
• 0 2 yrs experience in data analysis and python projects
• Must have advanced proficiency in MS Office Suite experience in G Suite (Google) Python Looker Studio / Power BI Streamlit Google App Scripts.
• Very strong communication verbal and written skills.
• Outstanding cognitive comprehension and strong analytical and statistical thinking skills
• Proven business acumen and has tenacity to always continue without seeing immediate success (displaying entrepreneurial qualities).
• Problem Solver
• Ability to work effectively in a team environment
• Ability to present ideas clearly and persuasively
• Excellent attention to detail and a commitment to quality.
• Ability to work independently and manage time effectively.

SHIFT SCHEDULE

• MID-SHIFT (2PM - 11PM).
• FLEXI.
• Subject to change depending on business needs.