MinutestoSeconds is a dynamic organization specializing in outsourcing services digital marketing IT recruitment and custom IT projects. We partner with SMEs midsized companies and niche professionals to deliver tailored solutions.
We would love the opportunity to work with YOU!!
Job Summary:
We are seeking a Data Management Specialist to support our data processing operations. The ideal
candidate will be responsible for cleaning restructuring validating and uploading data into our
system while ensuring accuracy and compliance with program rules. This role requires advanced Excel
skills to manipulate and organize data efficiently. The selected candidate will also be responsible for
conducting postupload testing to confirm data integrity and accuracy.
Key Responsibilities:
1. Data Cleaning & Preparation:
- Identify and correct inconsistencies duplicates and errors in datasets.
- Standardize and format raw data to match system requirements.
- Ensure data consistency across different sources.
2. Data Reorganization & Formatting:
- Transform data structures to align with the platform s required format.
- Create and modify Excel templates/macros for efficient data processing.
- Use pivot tables formulas and automation techniques to organize data efficiently.
3. Data Validation & Compliance:
- Validate datasets against predefined business rules and logic.
- Perform checks to ensure data accuracy completeness and integrity.
- Collaborate with stakeholders to resolve discrepancies.
4. Data Upload & System Integration:
- Prepare and upload validated data into the platform.
- Address errors during upload and troubleshoot issues.
- Document upload procedures and ensure compliance with system standards.
5. PostUpload Testing & Quality Assurance:
- Conduct data verification after uploads to confirm accuracy.
- Perform sample tests to identify missing or incorrect entries.
- Generate reports to highlight any anomalies or errors.
6. Process Improvement & Documentation:
- Identify opportunities for improving data management workflows.
- Maintain records of data processing steps and update documentation.
- Train team members on best practices in data management and Excel automation.
Requirements
Required Skills & Qualifications:
Advanced proficiency in Microsoft Excel including:
- Pivot tables VLOOKUP HLOOKUP INDEXMATCH and nested formulas.
- Data cleaning techniques using functions like TEXT CONCATENATE TRIM SUBSTITUTE etc.
- Macros and VBA scripting (preferred but not mandatory).
Experience in handling and processing large datasets.
Strong attention to detail and problemsolving skills.
Ability to follow complex data validation rules.
Understanding of data structures and data formatting principles.
Excellent organizational and documentation skills.
Ability to work independently and manage multiple tasks efficiently.
Preferred Qualifications:
Bachelor s degree in data science Information Systems Business Analytics or related field.
Experience working with database tools or data management systems (optional).
Familiarity with Python or SQL for data manipulation (a plus but not required).
Benefits
Compensation & Benefits:
- Competitive salary based on experience.
- Opportunity to work with a dynamic team and grow within the organization.
Skills: Java8+, Reactjs, Sprinboot, Kafka, Microservice, any cloud. Experience with microservices is a mandate. Required Skills Java, Spring Boot, Hibernate, Kubernetes, GCP (or any cloud), Kafka, MSSQL, and NoSQL. Extremely comfortable in Data Structures, Algorithms, and System Design concepts and applicability. Expertise with the Java 11 platform or higher. Hands-on experience of working with tools like Mockito, JBehave, Jenkins, Bamboo, Confluence, and Rally. Hands-on experience in writing Junit test cases, working with Maven/Ant/Gradle, and GIT. Experience in working with Agile methodologies. Knowledge of Security concepts (e. g., authentication, authorization, confidentiality, etc. and protocols, and their usage in enterprise applications. Knowledge of OWASP, OAuth2.0, JWT Technologies Experience building applications on the web platform with JavaScript, HTML, and CSS. Hands-on experience with React and knowledge of REACT 17 tools including Webpack, Enzyme, Redux, and Flux, and a testing tool like Jest. Strong fundamentals in Web Standards, Browser Performance and Rendering Pipelines, HTTP, and other relevant concepts. Good to have exposure to Backend development using Python, Django, and Node.js languages and frameworks
Education
Bachelor s degree in data science, Information Systems, Business Analytics, or related field. Experience working with database tools or data management systems (optional). Familiarity with Python or SQL for data manipulation (a plus but not required).