Salesforce Data Analyst II
As a Salesforce Data Analyst at Aquiva you will move beyond reporting and become a solution designer - owning data products end-to-end, refining metrics with business stakeholders, and enabling scale through automation and best practices.…
Aquiva and Hapi · На сервисе с: 03.10.26 15:13
As a Salesforce Data Analyst at Aquiva you will move beyond reporting and become a solution designer - owning data products end-to-end, refining metrics with business stakeholders, and enabling scale through automation and best practices. You will specialize in Salesforce CRM Analytics and its ecosystem while deepening your business and data engineering acumen to drive insights and outcomes across our operations.
This role requires hands-on experience working within the Salesforce ecosystem. We're looking for candidates who have practical experience with Salesforce as part of their analytics work and understand the platform, its data model, and business processes.
If your background does not include working with Salesforce or Salesforce-related analytics projects, this role may not be the right fit at this time. We encourage candidates with relevant Salesforce experience to apply and look forward to learning more about your expertise.
Key Responsibilities:
1. Technical Development
- Design scalable and responsive Tableau CRM dashboards with complex bindings, filters, and multi-page flows.
- Optimize queries (SQL, SOQL, SAQL) for performance on large datasets.
- Create modular and reusable dataflows and recipes, applying parameterization.
- Troubleshoot join mismatches, schema inconsistencies, and dataflow failures.
- Automate workflows using Python/R for data transformation, reporting, or model deployment.
2. Business Acumen
- Develop deep understanding of MCIM’s product, user journey, and operational metrics.
- Co-define KPIs with Product, Customer Experience, and Business teams.
- Build context-aware visual narratives for data, explaining trends, anomalies, and insights.
3. Cross-functional Communication
- Translate complex technical results into business-friendly formats.
- Collaborate with Engineering, Product, and Customer Success teams to embed analytics into operations.
- Run internal enablement sessions and maintain documentation for key dashboards.
4. Project Ownership
- Lead analytics initiatives from scoping to delivery.
- Build scalable dashboard templates, standard filters, and reusable assets.
- Review Data Analyst I dashboards and support onboarding of new team members.
5. Data Governance
- Implement naming conventions, data lineage tracking, and consistency checks.
- Monitor data quality and proactively address dashboard breakage and discrepancies.
Skills & Experience Required:
- 3–5 years of experience in analytics, data visualization, or business intelligence.
- Proficient in Salesforce Analytics (Tableau CRM), SAQL, SOQL, JSON-based dashboards.
- Hands-on with Snowflake, Data Lakes, ETL tools, and scripting in Python or R.
- Knowledge of data modeling (star schema, slowly changing dimensions).
- Excellent storytelling, stakeholder communication, and visualization skills.
- Bachelor’s degree in a quantitative or technical field (preferred).
Preferred Qualifications:
- Salesforce CRM Analytics & Einstein Discovery Consultant certified.
- Familiarity with real-time data pipelines, APIs, and external connectors.
- Experience mentoring junior analysts and creating internal documentation.
Похожие вакансии Аналитика данных
About the role
Responsibilities
- Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed
- Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders
- Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion
- Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets
- Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences
- Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift
- Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix
- Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication.
- Keep the solution maintainable: readable Python, documentation, versioned changes
Qualifications
- 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science
- Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series
- Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models
- Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase
- Advanced SQL and experience with large datasets in a cloud data warehouse
- Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact
- Ownership mindset: comfortable investigating issues across data, model, and integration boundaries
- Professional working proficiency in English and the ability to defend a number in front of senior stakeholders
Nice to have:
- Background in mobility, marketplaces or other supply-and-demand systems
- Experience supporting financial planning, S&OP or budgeting processes
- Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback)
- Hierarchical forecasting across multiple markets
- Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD
Technology environment
Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job.
Benefits
- Help us challenge injustice by creating fair choices for millions of people across 47 countries.
- Develop your professional skills with access to mentoring, career consulting, and learning programs.
- Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
- Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
- Work alongside people who take initiative, speak openly, and challenge themselves to grow.
- Improve your language skills through co-financed courses and internal speaking clubs.
About the role
In this role, you will be responsible for managing supply-demand balance, optimizing pricing and incentive levers, and driving sustainable, profitable growth at the city and country level.
Responsibilities
Marketplace Performance Ownership
- Own end-to-end performance of assigned markets or order types against key KPIs (growth, revenue, utilization, margins etc).
- Monitor market or order type health through core marketplace metrics and identify performance gaps, risks, and opportunities.
- Drive corrective actions and optimization initiatives to improve efficiency and profitability.
Pricing & Revenue Optimization
- Define, test, and optimize pricing levers based on local market dynamics and business objectives.
- Evaluate pricing impact on rider behavior, supply engagement, and overall marketplace balance.
- Partner with Product and Analytics to implement pricing logic and ensure correct execution in systems.
Supply & Demand Management
- Analyze supply-demand dynamics to maintain a healthy and efficient marketplace.
- Recommend actions to improve availability, utilization, and service reliability.
- Coordinate with regional operations teams to adapt strategies to local constraints and conditions.
Analytics & Decision Support
- Use data and dashboards to track performance, diagnose issues, and inform decision-making.
- Partner with Finance and Analytics on investment analysis, market business cases, and performance reviews.
- Prepare clear, structured insights and recommendations for senior stakeholders.
Cross-Functional Collaboration
- Act as a key interface between Operations, Product, Analytics, Finance, and Regional teams.
- Align stakeholders around priorities, timelines, and expected outcomes.
- Drive execution of cross-functional initiatives from problem definition to post-implementation review.
Qualifications
- 2+ years of experience in operations, revenue management, strategy, analytics, or consulting (marketplace or mobility experience is a strong plus).
- Strong analytical skills and experience working with large datasets to drive business decisions.
- Proficient in Excel and SQL; experience with BI tools (Power BI, Tableau) required; Python is a plus.
- Solid understanding of unit economics, pricing mechanics, and marketplace dynamics.
- Comfortable owning ambiguous problem spaces and driving decisions in a fast-paced environment.
- Strong stakeholder management and communication skills.
- Structured thinker with a bias toward execution and measurable impact.
Benefits
- Help us challenge injustice by creating fair choices for millions of people across 47 countries.
- Develop your professional skills with access to mentoring, career consulting, and learning programs.
- Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
- Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
- Work alongside people who take initiative, speak openly, and challenge themselves to grow.
- Improve your language skills through co-financed courses and internal speaking clubs.
- Annual salary from 64 700 EUR gross.
About the role
Responsibilities
- Design and evolve the experimentation framework used across inDrive’s products (ride hailing, delivery, fintech etc.)
- Build and validate statistical methodologies for:
- A/B and multivariate testing
- Switchback testing
- Regional causal inference approaches
- Solve complex causal inference problems:
- Network effects, interference, non-compliance
- Long-term and delayed effects
- Heterogeneous treatment effects across markets
- Partner closely with engineers to translate statistical logic into scalable, production-ready systems
- Enable product teams by creating clear decision frameworks, metrics standards, and experiment review processes
- Drive adoption of advanced tools (e.g. CUPED, variance reduction, causal models)
Qualifications
- 5+ years of experience in analytics, data science, or experimentation-heavy roles
- Strong foundation in statistics, probability, and causal inference
- Hands-on experience with A/B testing at scale
- Advanced SQL and Python (experience with experimentation or causal libraries is a plus)
- Ability to explain complex statistical ideas to non-technical stakeholders
- Product mindset: you care about decisions, not just numbers
- Curiosity, rigor, and the courage to challenge “obvious” conclusions
Benefits
- Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries
- Develop your professional skills with access to mentoring, career consulting, and learning programs
- Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
- Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
- Work alongside people who take initiative, speak openly, and challenge themselves to grow
- Improve your language skills through co-financed courses and internal speaking clubs
- Annual salary from EUR 70 700 gross
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