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.

Location: Richmond VA
-Hybri

Rate 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

• d Pyspark- very strong – all the coding questions are on Pyspark , Python – Need to be very stro
• ng Databric
• ksS
• QLA
• WSAmazon Quick Sight dashboard
• s.Snowfla

Interviews- 2 rounds of interview (30 mins fitment round +1 hour coding question on Pyspark & python , SQL , Amazon quick sight , Databrick

Duration
-3 months with possibility with extension as project will go up to more than 12 mo

Role Overview 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 Quick Sight 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…