AppMart is a software development company. We've been partnering with organizations from start-ups to large enterprises, Government institutions to help them accelerate growth and innovation, transform operational efficiency, and deliver new software products to serve their needs. Our various enterprise solutions already developed stretches from Identity Management, Payroll/Human Resource optimization software, Internally Generated Revenue & Tax management solutions, school solutions, Small & Medium industry inventory management solutions etc. Technology and software applications are driving evolution on an individual, cultural and social level.
Job Responsibilities
- Data Analysis: Conduct comprehensive analysis of large datasets using statistical techniques and data visualization tools to identify trends, patterns, and insights.
- Data Interpretation: Interpret data, analyze results, and provide actionable insights to support business decisions and strategic initiatives.
- Data Visualization: Develop visually compelling dashboards and reports using tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to effectively communicate findings to stakeholders.
- Data Cleaning and Preparation: Cleanse, transform, and preprocess data to ensure accuracy, consistency, and reliability for analysis purposes.
- Statistical Modeling: Apply statistical techniques such as regression analysis, clustering, hypothesis testing, and machine learning algorithms to extract insights and predict future trends.
- Data Governance: Ensure data integrity, quality, and security by adhering to data governance best practices and regulatory requirements.
- Cross-functional Collaboration: Collaborate with cross-functional teams including business analysts, data engineers, and decision-makers to understand data requirements and deliver actionable insights.
- Process Improvement: Identify opportunities to optimize data collection processes, analysis methodologies, and reporting frameworks to enhance efficiency and effectiveness.
- Mentorship and Leadership: Provide guidance, mentorship, and training to junior data analysts to foster their professional growth and development.
Qualifications
- A Bachelor's Degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline. Master's Degree is an added advantage.
Technical Skills:
- Proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS. Experience with data manipulation, querying, and analysis is essential.
- Familiarity with data visualization tools such as Tableau, Power BI, or similar platforms to create insightful and visually appealing reports and dashboards.
- Knowledge of statistical techniques and methodologies, including hypothesis testing, regression analysis, time series analysis, clustering, and machine learning algorithms.
- Experience with data cleansing, preprocessing, and transformation techniques to ensure data quality and integrity.
Analytical Abilities:
- Strong analytical and problem-solving skills to dissect complex datasets, extract meaningful insights, and identify patterns and trends.
- Ability to translate business requirements into data analysis tasks and provide actionable recommendations based on data-driven insights.
- Attention to detail and accuracy in data analysis and interpretation to ensure the reliability and credibility of findings.
Experience:
- 5+ years of experience in data analysis or a related field. Candidates should have a proven track record of delivering impactful insights and driving business outcomes through data-driven decision-making.
- Experience working with large datasets from various sources and domains, including structured and unstructured data.
- Previous experience in data visualization, statistical modeling, and predictive analytics is highly desirable.
Communication Skills:
- Excellent verbal and written communication skills to effectively communicate complex technical concepts and analysis results to non-technical stakeholders.
Business Acumen:
- Understanding of business processes, key performance indicators (KPIs), and industry trends to contextualize data analysis and provide actionable insights.
Team Collaboration:
- A Strong team player with the ability to work collaboratively in a multidisciplinary environment and contribute to a positive team culture.
Method of Application
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