Data Analyst

This job is about collecting, cleaning, and analyzing data to help businesses make better decisions. You might like this job because it involves working with diverse data sources and presenting insights visually to stakeholders. Job Type: Full-Time Posted: Few days ago

Job Description

• Data Collection: Gathering data from various sources, such as databases, spreadsheets, APIs, and other relevant sources. This could involve extracting data, cleaning it, and preparing it for analysis.
• Data Cleaning and Preprocessing: Ensuring the data is accurate, consistent, and free of errors or inconsistencies. This step often involves dealing with missing data, handling outliers, and transforming data into a suitable format for analysis.
• Data Analysis: Using statistical and analytical techniques to identify patterns, trends, and correlations in the data. This may involve performing exploratory data analysis, hypothesis testing, and creating visualisations to present findings effectively.
• Reporting and Visualization: Presenting your analysis and insights to stakeholders in a clear and understandable manner. This could involve creating charts, graphs, dashboards, and reports to communicate the results of your analysis.
• Business Insights: Translating data-driven findings into actionable recommendations that can help improve business processes, enhance decision-making, and achieve organisational goals.
• Data Management: Ensuring data security, privacy, and compliance with relevant regulations. Data analysts may also play a role in maintaining databases and data infrastructure.
• Collaboration: Working closely with other team members, such as data scientists, business analysts, and stakeholders, to understand requirements and provide support in data-related matters.
• Continuous Learning: Staying updated with the latest tools, technologies, and methodologies in data analysis to improve skills and efficiency.

Job Requirements

Requirements:

• Advanced degree in Data Science, Statistics, Computer Science, or a related field, with a strong foundation in quantitative analysis.
• Proven experience as a Data Analyst, with expertise in data mining, machine learning, and statistical analysis.
• Proficiency in data science tools and programming languages (e.g., Python, R, SQL) and experience with data visualization tools (e.g., Tableau, Power BI).
• Strong problem-solving skills and the ability to work independently on complex analysis.
• Excellent communication skills, with the ability to present data and insights in a clear, concise manner to both technical and non-technical stakeholders.

Skills

Data Analysis

Company Benefits

• Free Medical Insurance: Insurance will be covered for Permanent Staffs.
• Free Dinner on all OT Projects: Dinner will be paid by the company on all OT Projects.
• Yearly Training: For your personal training & improvement purposes.
• Company Trip and Retreat: 15 days to 21 days annual leave.
• Travel and Parking Allowance: Additional allowance given for parking and travel for work.

Experience Level

1 - 3 Years of Experience Senior Executive

Job Specialisation

Data Science & Analytics

Company Profile

Talentbank is a global employer branding, recruitment, market research & education specialist. For years now, Talentbank has been the unrivaled gold standard among recruitment platforms – and our capability in connecting amazing employers with amazing employees is reflected by some of our awards and accolades. At Talentbank, we always strive to improve the nation's employability rate. Visit . Our vision is to be SEA's most personalised talent ecosystem; elevating human progress by helping careers and companies grow. #J-18808-Ljbffr