Data Analyst

Laundryheap is an on-demand laundry and linen service with a mission to deliver great service within 24-hours. What do we do? We collect your laundry, clean it, pack it and deliver it back to you! To lessen the impact on our planet, we also have a fleet of electrical and eco-friendly bikes for our couriers.

We are now looking for a young, energetic and detail-oriented individual to work for us in our overseas office, Bengaluru, India. As we are an international brand working with different time zones, we would require the potential candidate to be flexible to work in UK shift patterns with us.

The Role:

As a Data Analyst, you will be responsible for increasing our business's competitiveness and profitability. You will play a key role in turning raw data into actionable insights through compelling and accessible visualizations.

This role demands strong practical experience using Looker Studio and Tableau to build reports and dashboards, a high level of skill in Excel and Google Sheets, and the ability to provide real business value. You must also be able to clearly communicate findings in a way that is impactful, simple, and decision-oriented.

Your responsibilities include, but are not limited to:

• Assessing data from a variety of sources to gain insights into pricing strategies and market trends
• Analyze competitor pricing and market trends to increase market share and profitability
• Scope out opportunities based on market trends and industry condition
• Identify ideal pricing structures and sales funnels and draft strategic pricing plans and processes to improve existing projects
• Translating complex datasets into visually intuitive reports and narrative summaries that guide strategic decision-making
• Developing dynamic pricing tools to effectively respond to changing market needs and trends.
• Revise pricing decisions if necessary, and proactively monitor products’ performance to determine whether revaluation is needed
• Prepare and recommend pricing strategies that align closely with market trends and identify new market segments to executives, marketing teams, and sales staff.
• Tracking customer engagement and trends to develop effective pricing strategies for products and offerings
• Forecasting revenue and market share based on market trends, production costs, profit margins, and sales volumes.
• Collaborating with sales and marketing departments to define pricing structure for company products
• Create reports reflecting metrics and project status, objectives and barriers (single or multiple data sources)
• Managing, designing and troubleshooting the reporting environment
• Develop and maintain invoicing process
• Inventory management

Requirements

• Bachelor’s degree in economics, business, accounting, finance or related field
• 3+ years of relevant experience interpreting data in a business intelligence, analytics, or data science/data scientist role, including relevant tools, techniques, and technology
• Proficiency in business intelligence (BI) software, such as Tableau, Cognos, Google Data studio
• Great Microsoft Excel knowledge - if statements, pivot tables, formulas, data validation
• In-depth knowledge of statistical methods, data analysis and SQL
• Strong analytical and research skills
• Excellent verbal and written communication skills
• Good negotiations and problem-solving skills
• Effective reporting and presentation skills
• Ability to formulate strategies/recommendations based on analysis

Desired Skills:

• Former experience in a tech start-up.
• Experience of working in a high-stress environment.
• Experience of remotely working with international teams.

Work Schedule and Patterns:

• 9-hour shift (8 working hours + 1-hour break)
• 5 days a week (Saturday - Sunday off)
• Shift timings: 8 am - 5 pm UK Time or 9 am - 6 pm UK Time
• Office-based role

• Immediate Joiner Preferred

We love to work with ambitious, proactive people who have a can-do attitude and are confident decision-makers. So, if this sounds like you, take this opportunity and apply to join the International Laundryheap Team today!