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Experience:

7 years required

Skills:

Sales, Data Warehousing, Legal

Job type:

Full-time

• 7 years of experience promoting analytics, data warehousing, or data management software.
• Experience planning, pitching, and executing a territory business strategy.
• Experience executing commercial and legal agreements with procurement, legal, and business teams.
• Experience working with sales engineers and customer technical leads to build business cases for transformation and accompanying plans for implementation.
• Preferred qualifications:
• Experience working with and managing partners in implementation projects.
• Experience with Data Analytics technology stack (e.g., Business Intelligence, Predictive Analytics, Hadoop/Spark Data lakes, Columnar Data Warehouses, Data Streaming, ETL and Data governance, etc.).
• Experience with Google Cloud Data and Analytics offerings (e.g., BigQuery, Looker, Pub/Sub, etc.).
• Ability to engage and influence executive stakeholders as a business advisor in data and analytics.
• Excellent business judgment and analytics skills, with the ability to use data to inform decisions and influence stakeholders.
• The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
• At Google Cloud, we're committed to offering customers an industry-leading Data and Analytics platform to build powerful solutions. In this role, you will build an understanding of the customers' businesses and bring expertise to the executive-level relationships to help them deliver their strategies.Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• Own and calibrate the business against the objectives and key results, accurately forecasting and reporting the state of the business for the assigned territory.
• Build and maintain executive relationships with customers as the data analytics subject matter expert, influencing long-term strategic direction.
• Develop and execute account plans, including a broader enterprise plan across key industries with focus on building accounts.
• Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, articulating key solution differentiators, and measurable business impacts.
• Work with the Google account and technical teams to develop and drive pipeline, and provide expertise. Develop go-to-market (GTM) efforts with Google Cloud Platform partners.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Skills:

Problem Solving, Finance, Statistics

Job type:

Full-time

• Use our rich data warehouse and your problem solving skills to support Business Managers answer tricky questions about Customer Growth, Product adoption, and User behaviour etc.
• Find insights that help us understand how customers interact with our Transaction Products, using the large data sets we now have at our disposal (Stripe payment data, Demand Performance data, SM proprietary data on hotel bookings and product usage, Customer data, etc.). The team needs you to be creative in your usage and interpretati ...
• Suggest and run experiments that will move the metrics that matter: we want you to be the missing link between our Strategy teams & our Product teams and address questions that will drive business growth.
• Partner with our Business Managers and product teams to build, improve and maintain dashboards that track the health and growth of our customer base.
• Collaborate with Business Managers and Marketing teams to drive analysis and impact measurement for various growth campaigns utilising tools such as HighTouch, Intercom, Heap, etc.
• Support leadership on analysis required to drive key meetings (Monthly Reviews, Performance reporting sessions, etc.).
• Be a champion for data-driven decision making, analytics.
• Own & maintain your projects, data models, dashboards, and use tools like Confluence, Google Drive, etc. proficiently to document and share your work for posterity in a fast-paced environment.
• Too general for you? No worries, here are a couple of pointers on how you bring value Explore usage patterns for Siteminder Pay customers to identify our best and worst users, and find ways to re-engage lapsed customers + drive adoption of the product.
• Partner with Business Managers to design, build and productionize a SM Pay, Demand and GDS Product Health scores, using the wealth of data we have at our disposal to quantify how successful customers are at deploying our product within their hotel.
• Revisit regional product pricing and value proposition to boost attachment of the product during the sales process, and optimise product unit economics.
• What you have:
• Professional Experience & Profile.
• 2-4 years proven experience as a Consultant, Data Analyst or a similar analytical role.
• Bachelor's degree in Business, Finance, Statistics, Data science, Engineering or a related quant field. A Master's degree is a plus.
• You are a self starter with high energy and a proven ability to roll up your sleeves to get things done.
• You have experience optimising customer journeys, and running data-driven experiments to increase customer lifecycle value (churn, revenue, etc.).
• You are a team player with a humble attitude, you can give and take criticism.
• You have experience collaborating with business leaders to support strong data-led decision making.
• You have excellent communication skills and the ability to translate complicated technical analysis into compelling narratives that can be used to influence senior leaders.
• You have a keen eye for detail, a critical mind, and the ability to prioritise tasks and manage multiple projects simultaneously.
• You enjoy analysing business drivers and levers, getting deep into the data, using first principles thinking, and consistently delivering great results.
• Knowledge of the software industry or hospitality sector is advantageous but not essential.
• Analysis & Technical skills You have experience extracting, manipulating and interpreting data using SQL (Snowflake or Databricks experience preferred, but any will do).
• You are handy with data visualisation tools like Tableau or Looker and have a willingness to get better.
• You have experience with Excel and/or Google sheets and are confident analysing data + building models in excel using excel functions (lookups, pivots, formatting, manipulation and transformation, visualisation).
• Bonus: You have experience with Salesforce.
• Bonus: You have experience with Customer Engagement & Marketing automation software like Marketo, Intercom or Salesforce Marketing cloud.
• Bonus: You have experience with ETL or Reverse ETL tools like Fivetran, Hightouch, Census.
• Bonus: You have experience with advanced analytical tools like R, Python.
• Our Perks & BenefitsEquity packages for you to be a part of the SiteMinder journey.
• Hybrid working model (in-office & from home).
• Mental health and well-being initiatives.
• Generous parental (including secondary) leave policy.
• Paid birthday, study and volunteering leave every year.
• Sponsored social clubs, team events, and celebrations.
• Employee Resource Groups (ERG) to help you connect and get involved.
• Investment in your personal growth offering training for your advancement.
• Does this job sound like you? If yes, we'd love for you to be part of our team! Please send a copy of your resume and our Talent Acquisition team will be in touch. When you apply, please tell us the pronouns you use and any adjustments you may need during the interview process. We encourage people from underrepresented groups to apply.
• LI-Hybrid

Skills:

Data Analysis, ETL, Data Warehousing

Job type:

Full-time

• Data Architecture: Design, develop, and maintain the overall data architecture and data pipeline systems to ensure efficient data flow and accessibility for analytical purposes.
• Data Integration: Integrate data from multiple sources, including point-of-sale systems, customer databases, e-commerce platforms, supply chain systems, and other relevant data sources, ensuring data quality and consistency.
• Data Modeling: Design and implement data models that are optimized for scalability, ...
• Data Transformation and ETL: Develop and maintain efficient Extract, Transform, and Load (ETL) processes to transform raw data into a structured format suitable for analysis and reporting.
• Data Warehousing: Build and maintain data warehouses or data marts that enable efficient storage and retrieval of structured and unstructured data for reporting and analytics purposes.
• Data Governance and Security: Establish and enforce data governance policies and procedures, including data privacy and security measures, to ensure compliance with industry regulations and protect sensitive data.
• Data Quality and Monitoring: Implement data quality checks and monitoring mechanisms to identify and resolve data inconsistencies, anomalies, and issues in a timely manner.
• Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and software engineers, to understand their data needs, provide data solutions, and support their analytical initiatives.
• Performance Optimization: Optimize data processing and query performance to ensure efficient data retrieval and analysis, considering factors such as data volume, velocity, and variety.
• Documentation: Maintain documentation of data processes, data flows, data models, and system configurations, ensuring accuracy and accessibility for future reference.
• Bachelor's or master's degree in computer science, information systems, or a related field.
• Strong programming skills in languages such as Python, SQL. C++ is plus.
• At least 3 year experience with data modeling, database design, and data warehousing concepts.
• Proficiency in working with relational databases (e.g., MySQL, PostgreSQL) and big data technologies (e.g., Hadoop, Spark, Hive).
• Familiarity with cloud-based data platforms, such as AWS.
• Knowledge of ETL tools and techniques for data integration and transformation.
• Understanding of data governance, data security, and regulatory compliance requirements.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Ability to work in a fast-paced environment and handle multiple projects simultaneously.
• Location: BTS Ekkamai
• Working Day: Mon-Fri (WFA Every Friday).