Job Description
Data Analyst
Experience: 4+ years
Salary: AUD 1,950 / month (based on experience)
Expected Notice Period: 2 to 4 Weeks
Shift: AU Partial Shift (06:30 AM to 03:30 PM IST)
Opportunity Type: Remote
Placement Type: Contractual
Contract Duration: Full Time, 12 months
What do you need for this opportunity:
Primary Skills:
Big Query, Ecommerce, MS Excel, Python, SQL, Tableau
Assessment to be Cleared:
Python Programming, MySQL
Roles & Responsibilities:
• Managing and manipulating very large datasets within MS Excel, Python, and SQL.
• Building data visualization dashboards with Tableau or Power BI.
• Analyzing and reporting on business-sensitive data, presenting findings and suggestions for business process improvements.
• Expert in data cleaning, preprocessing & writing Python scripts for automated reporting.
• Extract, clean, support as well as import and export data from internal DB (SQL) in the CRM / ERP / CMS.
• Demonstrate experience in popular Python libraries i.e., pandas, NumPy, seaborn, or matplotlib.
• Good understanding of regular expressions to find and manipulate the patterns in data, and investigate errors.
• Evolve the web analytics implementation to feed and drive the customization of internal dashboards and reports to meet business objectives and manage best practices standards.
• Gather data from a variety of sources and work with various business stakeholders to create reporting that will inform promotional strategies and sales trends.
• Represent Quality Assurance during project planning.
• Complete first-round QA on our development instance.
• Work closely with e-Commerce staff during code deployments and troubleshooting efforts.
• Building process automation within MS Excel to reduce the duration of repetitive tasks.
• Assisting the Data Migration, leading with tasks as required.
• Demonstrated strong practical experience in information and data analysis and experience in data migration, data archiving, integration, and source-to-target mapping.
• Demonstrate the ability to take ownership of data and ensure data is accurate and validated.
• Background administration for invoicing.
• Setting up text/email alerts and notifications.
• Configuring performance and compliance reports.
• Testing new software, automation scripts & fixing bugs.
• Compile, identify trends, and evaluate data to support the E-Commerce team in decision-making.
This Role Requires:
Professional Skills:
• Advanced/expertise skills in Microsoft Excel and industry best practices with an impeccable eye for detail.
• Experience with SQL & Python.
• Good in maths and spreadsheet skills.
• Understanding of the Microsoft Office Suite.
• Must have excellent interpersonal and communication skills (written and oral).
• Must be capable and comfortable working independently on assigned tasks.
• Two plus years experience in an analyst role.
• Experience with data and reporting systems including Power BI and SQL skills.
• An aptitude for process analysis, modelling, and reviews.
• A natural ability for maths, numbers, and the ability to communicate data in a common language.
• Experience using statistical techniques.
• Experience using either Tableau or Power BI.
• Knowledge and experience using a variety of techniques to communicate data insights.
• Exposure to HTML, SQL, and Javascript.
About you:
• A degree in information science or data science/analytics or equivalent experience.
• Proactive problem-solving and critical thinking skills.
• Ability to distill analysis into concise recommendations.
• Professional communication skills. Able to effectively present information, both written and verbal, in a clear manner.
• Capable of project management including the ability to keep track of multiple deadlines, effectively meet deliverables, and keep both customers and peers apprised of project status.
• At least 4 years of experience as an analyst in e-commerce/digital companies.
• Good communication and advisory skills (written and spoken).
• Strong experience with web analytics like Google Analytics, Adobe Analytics, or similar tooling.
• Experience with dashboarding and data visualization.
• Strong ability to extract actionable insights from advanced analyses and being able to advise on possible next steps.
• Preferably you have experience with Python, SQL & Google BigQuery (we provide room for training & personal development to learn).
How to apply for this opportunity:
• Register or login on our portal & fill out the application.
• Clear the assessment(s) required and apply for the opportunity.
• Once completed, our team will contact you with an interview with our SME/Matcher.
• Once it’s all done, your profile will be shared with the client.
• When selected, just meet the client and get your exciting career started!