Data Analyst Automotive Industry
6 days ago
TecAlliance's team of experts combines IT and automotive knowledge to drive innovation in the automotive spare parts market.
In this role, you'll have the opportunity to contribute to our industry-leading solutions in the Middle East, enhancing data accuracy through meticulous research and analysis.
Key Responsibilities Include:- Maintaining adherence to established workflows, including Standard Operating Procedures (SOPs).
- Conducting PESTLE analysis on automotive markets in Middle East countries.
- Gathering domestic and international automotive data and parts information from reliable sources.
- Verifying collected information for completeness and accuracy before inputting it into our systems.
- Identifying and rectifying data errors using established workflows.
- Generating insightful reports by analyzing collected information or as assigned.
- Collaborating effectively with leaders and departments to ensure seamless daily operations.
- Providing internal technical support to meet project deadlines and objectives.
- Expertise in maintaining & mapping large databases (minimum 2-3 years) is essential.
- Diploma in data management, vehicle engineering, computer science, mathematics, statistics, or related fields is required.
- Knowledge of the automotive industry, with experience in the aftermarket sector preferred.
- Proficiency in MS Office suite, particularly Excel; familiarity with Access and SQL is advantageous.
- Excellent communication skills in English, both written and verbal; Additional languages like Hindi or Tagalog or Arabic are a plus.
- We seek a proactive, hardworking, and persistent individual who is self-disciplined and motivated.
- A strong team player with good coordination, learning ability, and ability to perform under pressure.
- A logical thinker with meticulous attention to detail.
- Interest or passion for the automotive industry is desirable.
- The ability to analyze data critically and derive meaningful insights.
- A commitment to maintaining high standards of data accuracy and integrity.
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