{"id":4010386,"url":"https://alion.io/job/deloitte-senior-consultant-data-analyst","title":"Senior Consultant | Data Analyst","company":{"id":272,"name":"Deloitte","domain":"deloitte.com","url":"https://alion.io/company/deloitte","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":12,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"LLM","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Plotly","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-10T09:35:30Z","employer_posted_date":null,"last_verified_at":"2026-11-10T09:35:30Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"The team:\n\nEngineering helps empower and drive mission-critical solutions whether we need to modernize existing systems or implement new technology products and platforms. Through innovation, we improve financial performance, accelerate new digital businesses and fuel growth.\n\nYour work profile:\n\nWe are looking for a highly analytical and curious Data Analyst who can go beyond producing reports and dashboards to extract the story hidden inside complex datasets.\n\nThe ideal candidate has an exceptional ability to tease out patterns, anomalies, relationships, trends and business insights from data.\n\nSQL and Python are critical skills for this role. You will work extensively with Databricks for data exploration and analysis and increasingly use LLMs to accelerate data discovery, analysis and productivity.\n\nWe value analytical thinking and business judgment over simply knowing a particular BI tool.\n\n1. Data Exploration & Insight Generation:\nExplore large and complex datasets to uncover patterns, trends, anomalies, relationships and opportunities.\nDemonstrate an exceptional ability to ask: \"What is really happening in this data, and why?\"\nMove beyond surface-level descriptive analysis to identify the underlying drivers of business outcomes and investigate unexpected movements, outliers, and key metrics.\nConnect information across multiple datasets to develop a holistic understanding of a business problem.\nTranslate raw data into clear, concise and actionable insights.\n\n2. Business Problem Solving:\nWork with business stakeholders to understand ambiguous and complex problems.\nBreak broad business questions into well-defined analytical questions and hypotheses.\nDetermine what data is actually relevant to answering a question.\nChallenge assumptions and identify gaps in existing analyses.\nDistill complex analyses into the few insights that genuinely matter for decision-making.\nCommunicate not just what happened, but why it happened, what it means, and what should happen next.\n\n3. SQL & Databricks:\nWrite advanced, efficient SQL for data exploration, transformation and analysis in Databricks.\nWork with large datasets and understand joins, aggregations, window functions, CTEs, subqueries and complex transformations.\nInvestigate data quality and understand data lineage and relationships between datasets.\nDevelop reusable analytical datasets and queries.\nOptimize queries where required and demonstrate an understanding of computational efficiency.\nSQL is a core requirement of this role.\n\n4. Python & Analytical Programming:\nUse Python extensively for exploratory data analysis, statistical analysis, data transformation and visualization.\nWork comfortably with libraries such as Pandas, NumPy, Matplotlib/Seaborn and other relevant analytical libraries.\nAutomate repetitive analytical workflows.\nUse Python when SQL alone is insufficient for deeper analysis or statistical investigation.\nPython is a core requirement of this role.\n\n5. LLM-Augmented Analytics:\nUse LLM-based tools such as Databricks Genie to accelerate data exploration, querying and analysis.\nEffectively use LLMs to generate hypotheses, explore datasets, formulate SQL, investigate patterns and accelerate repetitive analytical tasks.\nUnderstand that LLM output must be validated rather than blindly trusted.\nDevelop effective prompting and analytical workflows that combine human judgment + LLM capabilities + data.\nIdentify opportunities where AI can substantially improve analyst productivity.\nWe expect the modern analyst to be AI-augmented, not AI-dependent.\n\n6. Data Visualization & Storytelling:\nSelect appropriate charts and visualizations based on the analytical question.\nHave a strong understanding of charts, graphs, distributions, trends and visual perception.\nDesign visualizations that make complex information easy to understand.\nAvoid misleading or unnecessarily complicated visualizations.\nBuild analytical narratives that allow stakeholders to quickly understand the key message.\nPresent findings effectively to both technical and non-technical audiences.\n\n7. Dashboard & UI/UX:\nDesign dashboards that prioritize clarity, usability and decision-making rather than simply displaying large numbers of KPIs.\nUnderstand principles of information hierarchy, layout, interaction and visual design.\nThink about the user's workflow when designing analytical interfaces.\nTranslate analytical requirements into intuitive dashboard experiences.\nUI/UX expertise is a major plus, particularly experience designing effective analytical dashboards.\n\n8. Metrics & Statistical Thinking:\nDefine and evaluate meaningful business metrics and KPIs.\nUnderstand concepts such as:\nMean, median and variance\nDistributions and percentiles\nSampling\nCorrelation\nConfidence intervals\nStatistical significance\nHypothesis testing\nBasic experiment/evaluation concepts\nUnderstand the difference between signal and noise.\nEvaluate whether observed changes in metrics are meaningful or potentially due to random variation.\nApply appropriate statistical reasoning to business problems without unnecessarily overcomplicating the analysis.\n\nKey skills required:\nEducation - Bachelors in Engineering\nStrong SQL skills - this is non-negotiable.\nStrong Python skills for data analysis.\nHands-on experience working with Databricks or comparable data platforms.\nExceptional analytical and problem-solving ability.\nAbility to work with large, messy and imperfect datasets.\nAbility to translate ambiguous business problems into analytical questions.\nStrong data exploration and investigative skills.\nStrong understanding of data visualization and chart selection.\nGood understanding of basic statistics and metric evaluation.\nExcellent communication skills - particularly the ability to distill complex analysis into simple conclusions.\nCuriosity and a willingness to challenge assumptions.\nAbility to independently investigate a problem rather than waiting for perfectly defined requirements.\nExperience with Databricks Genie or other LLM-based analytical tools.\nExperience building analytical dashboards.\nStrong UI/UX understanding, especially for data products and dashboards.\nExperience with Power BI, Tableau, Plotly, Streamlit or similar visualization tools.\nExperience working with product, operations, supply chain, commercial or other business datasets.\nExperience automating analytical workflows using Python.\nUnderstanding of data modeling and data engineering concepts.\nSkills\nDatabricks, Python, SQL","description_format":"text","description_chars":6482,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-11-10T09:35:30Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":12,"reasons":["seen:0","win:early","comp:brand"],"computed_at":"2026-11-10T12:22:19Z"},"pay":null,"html_url":"https://alion.io/job/deloitte-senior-consultant-data-analyst","json_url":"https://alion.io/job/deloitte-senior-consultant-data-analyst.json","meta":{"generated_at":"2026-11-10T12:22:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":28715,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":272},"rest":"https://alion.io/mcp/rest/get_company?id=272"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdeloitte-senior-consultant-data-analyst"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdeloitte-senior-consultant-data-analyst"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdeloitte-senior-consultant-data-analyst"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/deloitte-senior-consultant-data-analyst\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdeloitte-senior-consultant-data-analyst"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4010386}},{"tool":"search_jobs","arguments":{"company":"deloitte.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4010386},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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