Operations Analyst
flexiple
About the role
Flexiple is a managed marketplace that connects global enterprises with topβtier talent in India. Over the past few years, it has built a reputation for delivering highβperforming, remoteβfirst teams that drive measurable impact for its clients. The companyβs culture emphasizes flexibility, meritβbased growth, and a strong focus on outcomes rather than hours logged.
As a partner of a leading global logistics firm, Flexiple is now expanding its India operationsβanalytics team to bring dataβdriven insights to a highβvolume shipping network.
The Operations Analyst role sits at the intersection of logistics, data science, and business operations. Reporting to the Operations Analytics Lead, you will be responsible for turning raw shipment, throughput, and serviceβlevel data into actionable intelligence that helps keep the network running smoothly and on schedule. You will work closely with operations managers, account teams, and senior leadership, providing them with the numbers they need to make informed decisions.
Key responsibilities include
- Track daily shipment volumes, SLA adherence, and exception rates across all hubs.
- Analyse route efficiency, capacity utilization, and turnaroundβtime data to identify bottlenecks.
- Build and maintain recurring costβperβshipment and serviceβlevel performance reports.
- Design interactive dashboards (Power BI/Tableau) that are reviewed weekly by operations managers and leadership.
- Document process gaps, suggest improvements, and support implementation without owning execution.
- Respond to adβhoc data requests from operations, account, and finance teams.
- Conduct rootβcause analysis for any SLA breaches and propose corrective actions.
- Collaborate with the data engineering team to ensure data pipelines are reliable and upβtoβdate.
- Mentor junior analysts on best practices in data handling and reporting.
- Stay updated on logistics trends and incorporate relevant metrics into reporting frameworks.
Tech stack: Advanced Excel/Google Sheets, SQL for data extraction, Power BI or Tableau for visualization, basic Python/R for data manipulation (optional). Familiarity with logistics management systems is a plus.
Growth path: Starting as an Operations Analyst, high performers can progress to Senior Analyst, Analytics Lead, and eventually to Product or Operations Management roles within the global logistics partner. The role offers exposure to endβtoβend supplyβchain processes, making it an excellent springboard for a career in analytics or logistics strategy.
Why join Flexiple? You will work on realβworld logistics challenges for a global leader, enjoy a remoteβfirst setup with flexible hours, and receive mentorship from seasoned professionals. The companyβs performanceβdriven culture ensures that your contributions are recognized and rewarded, and you will gain visibility across multiple business functions, accelerating your professional growth.
Eligibility & process
Who can apply
Bachelor's degree in Engineering, Commerce, Science or related field; Minimum 60% aggregate (or CGPA 6.5/10); Graduating batch 2020β2024; No active backlogs; Strong analytical mindset and proficiency in Excel/Google Sheets; Good command of written and spoken English.
Skills & stack
Selection process
- Round 1: Internal HM Review
- Round 2: Flexiple Interview
- Round 3: Profile Review
- Round 4: Tech Interview 1
- Round 5: Tech Interview 2
- Round 6: Tech Interview 3
- Round 7: Founder Interview
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Behavioural & HR questions 3
Highlight flexiple's market reputation, recent tech innovations, and how your skills in Advanced Excel directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.