Data Insights Operations Associate

InforMityx AI is a dynamic organization that supports startups, SMEs, enterprises, and digital agencies in building, modernizing, automating, marketing, and scaling digital businesses. Leveraging expertise in AI, product engineering, data, cloud, and digital growth solutions, the company offers comprehensive services ranging from launching SaaS products and modernizing legacy platforms to enhancing digital visibility and providing dedicated engineering teams. Their core strengths include AI and agentic solutions, software engineering, data/BI/cloud technologies, enterprise transformation, and SEO-driven digital growth. InforMityx AI collaborates with agencies, consultancies, and software companies through flexible white-label and technology partnerships, prioritizing clear communication, quality execution, transparent delivery, and measurable outcomes across industries such as SaaS, healthcare, logistics, edTech, e-commerce, retail, and enterprise technology.

The Data Insights Operations Associate role is a full-time, on-site position based in Lahore. This role is integral to supporting the operational lifecycle of data and analytics initiatives, ensuring that data pipelines, dashboards, and reporting processes function efficiently and reliably. The associate will coordinate data collection activities, monitor data quality, prepare and distribute regular performance reports, and assist in implementing analytics solutions in collaboration with data, engineering, and business teams. Additionally, the role involves responding to internal stakeholder requests, documenting processes, troubleshooting operational issues, and translating business requirements into actionable data tasks. Close collaboration with customer-facing teams is essential to support data-driven service delivery and maintain high operational standards.

Key Responsibilities:
- Coordinate and manage data collection and validation activities to ensure accuracy and completeness.
- Monitor data quality and integrity across various data pipelines and reporting tools.
- Prepare, update, and distribute regular performance and operational reports to internal stakeholders.
- Support the implementation and maintenance of analytics solutions in partnership with data, engineering, and business teams.
- Respond promptly to internal requests related to data insights and operational issues.
- Document workflows, processes, and best practices to enhance operational efficiency.
- Assist in troubleshooting and resolving data-related operational challenges.
- Collaborate closely with customer-facing teams to facilitate data-driven decision-making and service delivery.
- Translate business requirements into clear, actionable data tasks and workflows.

Required Qualifications:
- Strong operational skills, including process coordination, workflow management, and keen attention to detail.
- Solid analytical capabilities to interpret data, identify trends, and support data-driven decisions.
- Effective communication and interpersonal skills to work collaboratively with cross-functional teams and stakeholders.
- Customer service orientation with a focus on responsiveness, problem-solving, and stakeholder satisfaction.
- Relevant experience in data operations, business intelligence, or analytics support is highly desirable.
- Familiarity with spreadsheets and reporting tools such as Excel, Google Sheets, Power BI, or similar platforms.
- Bachelor’s degree in Data Science, Business, Computer Science, Engineering, or a related discipline is preferred.
- Ability to work on-site in Lahore and manage multiple tasks in a fast-paced, technology-driven environment.

Preferred Qualifications and Benefits:
While not explicitly detailed, candidates with prior experience in SaaS, healthcare, logistics, or digital agencies will find their background advantageous. The role offers an opportunity to work in a cutting-edge AI and digital growth environment, contributing to impactful projects across diverse industries. The position supports professional growth through collaboration with multidisciplinary teams and exposure to innovative technologies.

This role is ideal for individuals who thrive in dynamic settings and are passionate about leveraging data to drive business outcomes.