Data Analyst

Akkodis is seeking a Data Analyst Developer for a Contract job with a client in Richmond VA. Ideally looking for applicants with a solid background in the financial services industry . Data Analyst Location: Richmond VA -Hybri dRate Range: $43/hour to $45/hour on W2 and $48-$50 /hr on c2c; The rate may be negotiable based on experience, education, geographic location, and other factors . Must Skills require • d Pyspark- very strong – all the coding questions are on Pyspark , Python – Need to be very stro • ngDatabric • ksS • QLA • WSAmazon Quick Sight dashboard • s.Snowfla ke Interviews- 2 rounds of interview (30 mins fitment round +1 hour coding question on Pyspark & python , SQL , Amazon quicksight , Databrick s ) Duration -3 months with possibility with extension as project will go up to more than 12 mo nths Role Ove rview This is not a passive reporting role. You will dive directly into AWS S3 environments, compile analytical views inside Snowflake, parse unmasked validation data inside Databricks, and apply cryptographic validation rules to eliminate false-positive alert noise across millions of records. Your data analysis will directly guide engineering teams on how and where to apply production-level data masking and tokenization p lays. Key Responsibil ities 1. Data Ingestion & Missing File Reconcili ation Monitor automated enterprise notifications ensuring that structural migrations are captured and incoming datasets are mapped for assess ment. Analyze active AWS S3 storage buckets to calculate full counts of active data partition f iles. Cross-reference S3 partition metrics against Snowflake metadata logging tables to run missing part-file reconciliation l ogic. Identify missing scans or pipeline discrepancies and autonomously coordinate with the Enterprise SCAN team to initiate targeted ad-hoc data scanning requ ests. 2. Deep-Dive Vulnerability Analysis & T riage Extract active security violation events from complex Snowflake analytical views Build programmatic pivot metrics and classification profiles to map an exhaustive list of unique combinations of sensitive data types across multiple schema extens ions. Perform context-aware analysis inside Databricks platforms to evaluate unmasked validation values against underlying transactional metadata lay outs. Execute card data logic validation routines, validating raw payloads against the Luhn algorithm within our proprietary too lset. Triage findings meticulously into defined structural buckets: True Positive, False Positive, or Unsure categories based on core risk prof iles. 3. Compliance Tracking & Governance Engine ering Manage structural data dictionaries and trackers, including the DSF Backbook Migration Log and the Sensitive Data Classification Validation Log. Isolate, format, and push verified false positives directly to data management platforms to run bulk suppression loads, systematically immunizing pipelines against redundant security alert fat igue. Synthesize granular validation evidence sheets mapping schema properties, target data types, remediation rationale, and reference context prof iles. 4. Remediation Validation & Dashboa rding Partner closely with data engineering operators to track the health of automated end-to-end data remediation routines executing via Databricks jobs. Ensure strict risk isolation logic is sustained, confirming that downstream consumption layer systems remain locked until rescan validations return c lean. Perform end-to-end file auditing to verify that post-masked outputs generated inside targeted write paths precisely mirror input baseline file tal lies. Leverage Amazon QuickSight business intelligence environments to monitor visual tracking boards, ensuring zero data leakage or partition drops across integration sc opes. 5. Cross-Functional Stakeholder Alig nment Prepare and frame analytical findings packets ahead of critical technical rev iews. Champion insights and drive live consensus calls within cross-functional operational meetings, including Daily Standups and Bi-Weekly SME Alignment Forums with Chief Data Office (CDO) leads and external integration po ints. Technical Skills & Qualifica tions Data Infrastructure Mastery: Extensive hand-on experience writing complex querying logic over structured and semi-structured architectures within Snowflake or equivalent enterprise cloud data platf orms. Advanced Data Processing Knowledge: Proven background working within Databricks compute frameworks to explore, extract, and inspect underlying enterprise code bases or dataset ta bles. Cloud Architecture Fluency: Direct technical comfort querying, calculating, and inspecting cloud objects directly inside AWS S3 environm ents. Data Visualization & Delivery: Experience configuring access and generating scannable metrics reporting within Amazon QuickSight dashbo ards. Data Cleansing Logic: Deep comprehension of programmatic data filtration approaches, deduplication routines, and standard mathematical string validations (e.g., Luhn check patte rns). Agile Communications Delivery: Exceptional technical writing capacity to compile audit logs, create operational Markdown playbooks, and effectively drive multi-organizational daily tracking fo rums. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at 3039422431 /soma.chakraborty@akkodisgr oup.com.Equal Opportunity Employer/Veterans/ DisabledBenefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy -policy.The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as app licable:· The California Fair Ch ance Act· Los Angeles City Fair Chance O rdinance· Los Angeles County Fair Chance Ordinance for E mployers· San Francisco Fair Chance O rdinance